Edwin is available for hire
Hire EdwinEdwin Villacis
Verified Expert in Engineering
Full-stack Developer
Quito, Pichincha, Ecuador
Toptal member since March 29, 2022
Bio
Edwin is a full-stack developer with 15 years of experience leading project teams, including in a Fortune 500 company. He specializes in implementing CI/CD pipelines and using diverse programming languages, such as JavaScript, React, Node.js, Java, JEE, Python, HTML-5, CSS, Bootstrap, AWS, RESTful APIs, and React Native. Edwin is also an expert in implementing agile methodologies, namely Scrum, Scrumban, extreme programming (XP), and capability maturity model integration (CMMI).
Portfolio
Freelance
Stable Diffusion, LoRa, Large Language Models (LLMs), Python, Node.js, Django...
Freelance
JavaScript, Java, JEE, Node.js, React, Redux, Bootstrap, Express.js, MySQL...
Telefónica
JavaScript, Java, JEE, Bootstrap, CSS, HTML5, Oracle, Spring, Full-stack...
Experience
- JavaScript - 14 years
- Oracle - 10 years
- Node.js - 7 years
- React - 6 years
- Java - 5 years
- Spring - 5 years
- Spring Boot - 4 years
- Redux - 3 years
Work Experience
Senior Full-stack Developer
2019 - PRESENT
Freelance
- Developed an AI marketplace system for AI-generated images with copyright considerations. Used Stable Diffusion with LoRA parameters for image creation. Made the Python back end with AWS Lambda and ECS.
- Used Next.js, React front end with GraphQL. Integrated Stripe with PayPal.
- Developed AI agents for customer review handling, classification, translation with ChatGPT, parsing, and storage in OpenSearch. Optimized memory usage and enhanced search with vector embeddings. Tested for accuracy. Built back end with Python.
- Created a survey system with JavaScript, React front end, Node.js, Nest.js, and Sequelize back end.
- Hosted on AWS with Lambda for scalability, S3 for storage, and PostgreSQL for secure data storage. Integrated with Qualtrics for survey creation and distribution.
- Made a crawler system with Python, FastAPI, SQLAlchemy, Node.js, Nest.js, Prisma, Metadata in ElasticSearch, back end with ECS, Fargate, and RSS feeds with Lambda. Utilized AI for sentiment analysis, topic modeling, and GPT-based summarization.
- Created a Crawler back end with Node.js, deployed on AWS Lambda for scalable operations. Used PostgreSQL via Sequelize for database interactions. Crafted the front end with TypeScript, React, and Redux for state management. Styled with Bootstrap.
- Used OCR tech to convert legal PDFs to text, processed with Chat GPT for NER data stored in Elasticsearch. Users filter and visualize results in a knowledge graph, annotated documents by PDFTron. Used AWS Lambda for the back end and GraphQL on ECS.
- Utilized React and TypeScript for the front end and Node.js, MongoDB, and Express. Used GCP for security and scalability for the back end. Utilized React Native for the mobile and Material UI.
- Developed security, distribution, shipment, and logistics. Designed the app for order management and warehouse optimization.
Technologies: Stable Diffusion, LoRa, Large Language Models (LLMs), Python, Node.js, Django, Machine Learning, FastAPI, React, TypeScript, JavaScript, PyTorch, LangChain, Jupyter Notebook, Google Colaboratory (Colab), RunPod, Amazon Web Services (AWS), Amazon RDS, PostgreSQL, Lambda Functions, Amazon Cognito, Amazon Elastic Container Service (ECS), Elasticsearch, GraphQL, Apollo, PDFTron, Flask, AWS Step Functions, Amazon Simple Queue Service (SQS), REST APIs, Google Cloud Platform (GCP), AWS Amplify, Amazon S3 (AWS S3), Amazon Aurora, MongoDB, Next.js, Tailwind CSS, Figma, Amazon Titan, Amazon Bedrock AgentCore, Stripe API, PayPal API, ChatGPT, NestJS, Sequelize, AIM, Qualtrics, SQLAlchemy, Prisma, AWS Fargate, Redux, React Query, Bootstrap, React Native, Expo, Material UI, Express.js, Styled-components, Jest, Sass, Prompt Engineering, Startups, Artificial Intelligence (AI), Natural Language Processing (NLP), Search Engines, Elastic, Chatbots, OpenAI, AI Integration, JSON, Database Architecture, Databases, System Architecture, Model Context Protocol (MCP), AI Agents, Claude, OpenAI API, API Development, AWS Cloud Architecture, Agentic AI, Fractional CTO, Generative Artificial Intelligence (GenAI), Gemini, Solution Architecture
Senior Full-stack Developer
2014 - 2019
Freelance
- Developed, maintained, and coded a React and Bootstrap application that managed tokens identified via OCR technologies from over 800,000 billing images hosted on AWS ECS.
- Created an application to control and push surveys offered to mobile users, track the responses, handle phone and internet bills, parse the OCR data, do surveys for eCommerce sites, and maintain the AWS infrastructure.
- Maintained a React Native app collecting minute-by-minute telemetry from over 100,000 users, saved in SQLite, and sent to a terabyte Redshift database. Supported data science analysis using Python for US Telecom decision-making.
- Coded and adapted a Telemetry React Native application for a desktop environment using Electron, React Native for Web, and React.
- Made a serverless microservices app handling over 200,000 surveys per month and OCR-processed bills. Utilized AWS Lambda in Java, Spring, and Hibernate with 203+ Lambda functions coordinated through AWS Step Functions.
- Created and maintained a back-end system using NiFi and Java, aggregating more than two terabytes of telemetry data in a large-scale Redshift database and storing the aggregated outcomes in PostgreSQL.
- Made control software for chemical production, managing oxygen stabilization, production tracking, and raw materials. Used React with Bootstrap, Python, and MongoDB on AWS EC2. Implemented AWS changes tailored to GraphQL APIs for managerial queries.
- Architected an app for electrical meter control and monitoring, analyzing consumption and efficiency, utilizing React, Node.js, GraphQL, and MongoDB. Optimized with Redux, Apollo, and Docker. Implemented Jest, Cypress. Deployed on AWS EC2.
- Developed the accounting and payroll system with TypeScript, React, and Redux for UI. Utilized Node.js for server logic and MySQL for data storage. Managed Linux server deployment. Enhanced financial management efficiency ensured secure transactions.
- Made electrical project control software with React, Bootstrap front end, Node.js, and PostgreSQL back end. Employed Jest for testing. Managed Linux server deployment. Enhanced project management, stock control, payroll, and accounting efficiency.
Technologies: JavaScript, Java, JEE, Node.js, React, Redux, Bootstrap, Express.js, MySQL, MongoDB, Git, HTML5, Spring, Spring Boot, React Redux, Jest, Selenium, JUnit, Full-stack, TypeScript, REST APIs, Microservices Architecture, Responsive Layout, Cross-browser Compatibility, Full-stack Development, PostgreSQL, Front-end, Amazon Web Services (AWS), Docker, HTML, APIs, MariaDB, Event-driven Programming, User Interface (UI), GitHub, UI Components, Integration Testing, Serverless Architecture, Next.js, NestJS, GraphQL, API Integration, Integration, Security, AWS Command Line Interface (CLI), Amazon Simple Queue Service (SQS), Amazon Simple Notification Service (SNS), AWS Lambda, Amazon EC2, Electron, Amazon CloudWatch, Amazon RDS, Lambda Functions, CI/CD Pipelines, Prisma, Tailwind CSS, Async Batch Processes, Payment APIs, Amazon API, AWS CloudFormation, Sequelize, Redshift, Amazon S3 (AWS S3), OpenAI GPT-3 API, OpenAI GPT-4 API, Back-end, NoSQL, REST, Cloud, Google Cloud Platform (GCP), Microservices, JSON Web Tokens (JWT), Scalability, API Gateways, ETL, Message Queues, Authentication, Middleware, AWS SDK, Python, React Native, Firebase, Mobile, AWS AppSync, Apollo, Elasticsearch, PDFTron, Amazon Cognito, Auth0, Apache NiFi, NiFi, Angular, AngularJS, Jira, Technical Architecture, Scraping, Web Scraping, Swagger, Amazon Elastic Container Service (ECS), Containerization, Multitenancy, AWS Amplify, Front-end Development, Figma, PWA, Webpack, Payment Gateways, Stripe, Stripe Checkout, Algorithms, Minimum Viable Product (MVP), Team Leadership, SQLite, Artificial Intelligence (AI), Data Science, JSON, XML, Data Pipelines, Database Architecture, Databases, DevOps, System Architecture, API Development, AWS Cloud Architecture, Fractional CTO
Software Development Manager
2006 - 2014
Telefónica
- Led 135 employees within a development and testing team in a culture of continuous improvement.
- Received recognition within the top two software delivering processes in LATAM.
- Increased software development quality from 83% to 97%.
- Reduced the time-to-market by 74% from user requirement definition to deployment and acceptance in production.
Technologies: JavaScript, Java, JEE, Bootstrap, CSS, HTML5, Oracle, Spring, Full-stack, TypeScript, Full-stack Development, Front-end, WebSockets, HTML, Event-driven Programming, User Interface (UI), GitHub, Integration Testing, API Integration, Integration, APIs, Security, Architecture, Async Batch Processes, Back-end, API Gateways, ETL, Message Queues, Authentication, Middleware, Technical Leadership, Requirements Analysis, Project Portfolio Management (PPM), CTO, Technical Architecture, Containerization, Front-end Development, Webpack, jQuery, Algorithms, Team Leadership, Oracle Database, JSON, XML, Database Architecture, Databases, Customer Relationship Management (CRM), System Architecture, Fractional CTO
Senior Full-stack Developer
1999 - 2006
Colvida SA Life Insurance Company
- Implemented the first banking insurance system in the country.
- Carried out the first educational insurance system in the country.
- Increased sales up to 25% yearly in individual products.
Technologies: JavaScript, Oracle, SQL, PL/SQL, Linux, Windows Server, Full-stack, Full-stack Development, Front-end, HTML, User Interface (UI), Architecture, DNS, ETL, Technical Leadership, Requirements Analysis, Technical Architecture, Algorithms, Team Leadership, Oracle Database, Database Architecture, Databases, System Architecture
Full-stack Developer
1996 - 1999
Integral SA Insurance Company
- Developed the company's insurance core system from scratch.
- Created the company's business intelligence system for decision making.
- Decreased the processing time up to 50% in regulatory information.
Technologies: JavaScript, CSS, HTML5, SQL, PL/SQL, Oracle, Linux, Full-stack Development, Front-end, HTML, DNS, ETL, Requirements Analysis, Algorithms, Team Leadership, Oracle Database, Databases, System Architecture
Project History
AI-powered Image Marketplace
I architected and developed an advanced AI marketplace system to generate and manage AI-generated images with copyright awareness, utilizing stable diffusion for image creation. The back end, built on Python, uses AWS Lambda for scalable processing, with AWS Step Functions and SQS for workflow orchestration. To support resource-intensive AI tasks, Amazon ECS and EC2 were seamlessly integrated, while AWS API Gateway secured system access. User authentication is ensured via Google Cloud Identity and Amazon Cognito, with AWS Amplify and S3 managing front-end development and asset storage. Data is stored in Amazon RDS Aurora PostgreSQL and MongoDB, with FastAPI and Django for backend APIs.
The front end utilizes Next.js, React, and Figma for a user-friendly interface enhanced by Tailwind CSS. For advanced image searches, I implemented AWS OpenSearch, Titan, and Bedrock. GraphQL facilitates data interactions, and Stripe and PayPal manage financial transactions, offering a comprehensive solution for image marketplace needs.
The front end utilizes Next.js, React, and Figma for a user-friendly interface enhanced by Tailwind CSS. For advanced image searches, I implemented AWS OpenSearch, Titan, and Bedrock. GraphQL facilitates data interactions, and Stripe and PayPal manage financial transactions, offering a comprehensive solution for image marketplace needs.
Enhancing Customer Review Analysis System with AI-powered Tools
I created AI agents to revamp our approach to customer reviews, focusing on classification, translation, parsing, optimization, search capabilities, evaluation, and the underlying technology stack. The agents classify reviews for precise analysis and, with ChatGPT's LLM, translate content, breaking language barriers. Original reviews are stored in DynamoDB, and processed reviews are stored in OpenSearch, enabling efficient data retrieval. We optimized memory usage and token count for cost efficiency. Our customer service leverages vector embeddings for accurate searches in OpenSearch. Rigorous testing and AI agent chaining ensured high performance. The system, powered by Python, LangChain, AWS Lambda, API Gateways, and Amazon Titan, enhances feedback analysis, aiding in smarter decision-making and boosting customer satisfaction.
Web Crawler System
I developed a crawler system using a back-end built in Python and Node.js that gathers over a decade's worth of data from news sources, blogs, social media, and RSS sources. The back-end system is designed to run within Docker containers, which are orchestrated by AWS ECS, utilizing AWS Fargate to execute these containers, which allows a serverless operational model. The RSS feeds are aggregated using a back-end system developed as AWS Lambdas. These articles are sent to an AWS SQS, then processed as needed, and subsequently stored in an AWS S3 bucket in its metadata in an Elasticsearch database. The system handles a significant volume of data, making over 100,000 requests to various sources. Each piece of retrieved content undergoes processing through a sophisticated AI-based framework. This includes a sentiment analysis model, which evaluates the tone and sentiment of the text. An AI-driven topic modeling component is employed to categorize and understand the primary themes and subjects of the content. This analysis empowers investors with a nuanced understanding of the current market sentiment and key trends. Furthermore, the back-end system utilizes a GPT model to summarize the articles, storing them in Elasticsearch.
Web Crawler Administration System
I designed the architecture of and constructed a Crawler Administration System to oversee and manage multiple web crawlers operating across various Docker containers. This system is adept at gathering and presenting real-time statistics about active crawlers and flags that encounter errors. The back end was crafted using Node.js lambda functions integrated with an RDS PostgreSQL database. For database interaction and object-relational mapping, Sequelize is employed. The front-end interface, designed for monitoring the crawler machines, was built using TypeScript, React, Redux, React Query, and Bootstrap. This interface provides administrators with a clear and interactive dashboard to monitor the crawler machines. The front end communicates with the back end via RESTful API gateways.
RSS Feed Aggregator
I developed an RSS aggregator using Python and Node.js, Lambda functions, SQLAlchemy, and Amazon RDS PostgreSQL. This aggregator collects RSS-focused news and sends it to an AWS SQS queue for ingestion into the AI system. The front-end control and maintenance interface was developed using TypeScript, React, and Bootstrap.
PDF Viewer and Annotator
I architected and implemented a comprehensive system that transforms legal litigation PDF documents—often exceeding 100 pages—into text through Optical Character Recognition (OCR). This text is then processed using an AI framework, specifically ChatGPT, to perform Named Entity Recognition, efficiently extracting key entities and information. The AI processing leads to the creation of concise summaries of these extensive documents.
This system features a user-friendly interface and is developed using React, TypeScript, and Material-UI, which allows users to manually annotate entities within the PDFs using PDFTron. These annotations, along with AI-processed data, are stored in an Elasticsearch database, ensuring efficient data management and retrieval. The processed information is made accessible to the front end through a Node.js application, utilizing GraphQL and Apollo, all hosted within an AWS ECS service for robust scalability and performance.
To secure the system, I integrated AWS Cognito for robust user authentication and authorization. This security layer ensures that only authorized users can access and interact with the system, maintaining the confidentiality and integrity of the legal documents.
This system features a user-friendly interface and is developed using React, TypeScript, and Material-UI, which allows users to manually annotate entities within the PDFs using PDFTron. These annotations, along with AI-processed data, are stored in an Elasticsearch database, ensuring efficient data management and retrieval. The processed information is made accessible to the front end through a Node.js application, utilizing GraphQL and Apollo, all hosted within an AWS ECS service for robust scalability and performance.
To secure the system, I integrated AWS Cognito for robust user authentication and authorization. This security layer ensures that only authorized users can access and interact with the system, maintaining the confidentiality and integrity of the legal documents.
Automated Token Identification and Management System
I handled the development, maintenance, and coding of the front end for an application designed to identify and manage tokens in PDFs and image-based bills. This application, which processes over 800,000 billing documents, is built using React, JavaScript, TypeScript, Redux, and Bootstrap and is hosted on AWS EC2. The identified tokens are stored in a PostgreSQL database, supported by a back end developed in Java with Spring Boot. This back end leverages AWS Lambda functions, API gateways, and REST APIs for efficient operation. Additionally, all images and PDFs are securely stored in AWS S3. The application's security is robustly managed through AWS Cognito and IAM, ensuring protected access and data integrity.
Scalable Survey System
Developed a dynamic survey system to effectively engage our customer base. The front end is crafted with JavaScript and React for a seamless user experience, while the back end runs on Node.js, utilizing Sequelize as the ORM for smooth PostgreSQL interactions, ensuring efficient survey data management.
Hosted on AWS, the system employs Lambda for scalable serverless operations, API Gateway for secure API management, and S3 for reliable storage, including the front-end application. AWS IAM meticulously controls access, enhancing security. PostgreSQL serves as a secure database, enabling detailed data analysis.
This setup guarantees user-friendly survey participation, scalable processing, and strong data security, streamlining survey creation and distribution.
Hosted on AWS, the system employs Lambda for scalable serverless operations, API Gateway for secure API management, and S3 for reliable storage, including the front-end application. AWS IAM meticulously controls access, enhancing security. PostgreSQL serves as a secure database, enabling detailed data analysis.
This setup guarantees user-friendly survey participation, scalable processing, and strong data security, streamlining survey creation and distribution.
Mobile Phone Call Control
It is a time-window control for calls in the prepaid telephone system, based in Java. The application performed with great accuracy, controlling the service provisioning in the core telephony central.
Middleware to Reload the Cellphone Mobile Wallet
It is a Node.js and Express middleware application that uses a mobile wallet to allow the reloading of mobile customer phones in remote locations such as retail stores, pharmacies, supermarkets, and grocery stores. The process works with async transactions for providing interfacing between the prepaid telephone system and the user’s mobile phone.
Golf Application
Built a system that revolutionizes the golf experience by providing high-definition 4K flyover views of every hole, GPS-integrated course maps, and real-time weather updates. Designed to empower players of all levels, the app helps users make informed decisions on the course, track scores, and manage handicaps seamlessly.
KEY FEATURES
• Interactive flyover views: Explore every hole from a bird's-eye perspective in stunning 4K resolution to better plan a strategy.
• Smart GPS tracking: View detailed maps with precise green target distances for improved accuracy.
• Real-time weather updates: Stay informed about weather conditions to adapt the game accordingly.
• Score and handicap tracking: Manage the game effortlessly with built-in scorecards.
KEY FEATURES
• Interactive flyover views: Explore every hole from a bird's-eye perspective in stunning 4K resolution to better plan a strategy.
• Smart GPS tracking: View detailed maps with precise green target distances for improved accuracy.
• Real-time weather updates: Stay informed about weather conditions to adapt the game accordingly.
• Score and handicap tracking: Manage the game effortlessly with built-in scorecards.
Vehicle Inspection System
Developed a system that provides a comprehensive pre-purchase vehicle inspection service, ensuring buyers' peace of mind with detailed reports, real-time information, and certified inspections.
I contributed to the development of the inspection platform's web and mobile applications. I used React, React Native, Redux, TypeScript, and SCSS to build a scalable, responsive interface. I also integrated Google API for accurate address data collection and Stripe API for seamless payment processing.
The platform is designed to simplify and enhance the vehicle buying experience by offering thorough pre-purchase inspections. It connects buyers with certified inspectors who assess vehicles in real-time, providing detailed visual and technical reports on over 150+ inspection points for basic packages and 200+ for advanced options. The service covers key areas, including mechanical, electrical, frame, and interior/exterior conditions, as well as OBDII diagnostics and prior repair verification. By leveraging live GPS tracking, real-time information, and automated invoicing, the system helps buyers make informed decisions, minimize repair costs, and save time through an accessible, paperless system across web and mobile platforms.
I contributed to the development of the inspection platform's web and mobile applications. I used React, React Native, Redux, TypeScript, and SCSS to build a scalable, responsive interface. I also integrated Google API for accurate address data collection and Stripe API for seamless payment processing.
The platform is designed to simplify and enhance the vehicle buying experience by offering thorough pre-purchase inspections. It connects buyers with certified inspectors who assess vehicles in real-time, providing detailed visual and technical reports on over 150+ inspection points for basic packages and 200+ for advanced options. The service covers key areas, including mechanical, electrical, frame, and interior/exterior conditions, as well as OBDII diagnostics and prior repair verification. By leveraging live GPS tracking, real-time information, and automated invoicing, the system helps buyers make informed decisions, minimize repair costs, and save time through an accessible, paperless system across web and mobile platforms.
Fitness System
The system offers a personalized solution for fitness trainers and their clients, enhancing communication and program adherence. Trainers can send tailored invites with customized workout and nutrition plans. For clients, the system provides:
• Weekly photo progress reports and body parameter tracking.
• Personalized daily meal plans and tips crafted to their needs.
• Custom workout plans, updated weekly.
This app simplifies client-trainer interactions, keeping clients motivated and helping them achieve their fitness goals with structured tracking and individualized guidance.
• Weekly photo progress reports and body parameter tracking.
• Personalized daily meal plans and tips crafted to their needs.
• Custom workout plans, updated weekly.
This app simplifies client-trainer interactions, keeping clients motivated and helping them achieve their fitness goals with structured tracking and individualized guidance.
Freight Management System
The Freight Life platform offers a comprehensive solution for freight management, ensuring end-to-end transparency.
I developed the project's front-end architecture from the ground up, leveraging React, Redux, and TypeScript for a scalable, interactive user experience. I employed Sass and Material UI to create a visually cohesive and responsive interface and integrated Google API for precise address autocomplete and dynamic map functionality, enhancing usability and data accuracy. I also used Stripe API for secure and automated invoicing for seamless payment processing, built a custom image viewer for immediate document access, and collaborated on backend-generated reports using Blade templates to facilitate paperless logistics. This solution streamlined freight management by driving transparency, efficiency, and user-centric interactions.
KEY FEATURES
• Full process visibility: Real-time tracking at every stage of transportation.
• Freight Life package: Integrated tools for optimizing logistics operations.
• Live GPS tracking: Real-time cargo location monitoring.
• Invoicing support: Automated invoicing processes.
• Paperless documentation: Digital document management, including e-bills and delivery confirmations.
I developed the project's front-end architecture from the ground up, leveraging React, Redux, and TypeScript for a scalable, interactive user experience. I employed Sass and Material UI to create a visually cohesive and responsive interface and integrated Google API for precise address autocomplete and dynamic map functionality, enhancing usability and data accuracy. I also used Stripe API for secure and automated invoicing for seamless payment processing, built a custom image viewer for immediate document access, and collaborated on backend-generated reports using Blade templates to facilitate paperless logistics. This solution streamlined freight management by driving transparency, efficiency, and user-centric interactions.
KEY FEATURES
• Full process visibility: Real-time tracking at every stage of transportation.
• Freight Life package: Integrated tools for optimizing logistics operations.
• Live GPS tracking: Real-time cargo location monitoring.
• Invoicing support: Automated invoicing processes.
• Paperless documentation: Digital document management, including e-bills and delivery confirmations.
SSL Certificates Control System
Developed a proactive monitoring tool that alerts users on SSL certificate expiration, helping businesses prevent downtime and maintain online security.
I led the platform's front-end development, utilizing React, Redux, TypeScript, SCSS, and Tailwind CSS to create a streamlined, responsive interface. I also integrated WebSockets for real-time updates on SSL certificate status and Stripe API for managing subscription payments.
The application helps businesses stay ahead of SSL certificate expirations by providing timely alerts and real-time monitoring. The platform allows users to set up notifications for multiple domains, reducing the risk of website downtime due to expired certificates. With a simple interface, users can easily track certificate details such as expiration date, issuer, and validity status. Real-time WebSocket integration ensures that users receive immediate updates on any SSL status changes. The system supports free and premium plans, with seamless Stripe integration for payment processing, making it accessible for various business needs. This tool enables a reliable, user-friendly solution for SSL management, offering peace of mind and a continuous online presence.
I led the platform's front-end development, utilizing React, Redux, TypeScript, SCSS, and Tailwind CSS to create a streamlined, responsive interface. I also integrated WebSockets for real-time updates on SSL certificate status and Stripe API for managing subscription payments.
The application helps businesses stay ahead of SSL certificate expirations by providing timely alerts and real-time monitoring. The platform allows users to set up notifications for multiple domains, reducing the risk of website downtime due to expired certificates. With a simple interface, users can easily track certificate details such as expiration date, issuer, and validity status. Real-time WebSocket integration ensures that users receive immediate updates on any SSL status changes. The system supports free and premium plans, with seamless Stripe integration for payment processing, making it accessible for various business needs. This tool enables a reliable, user-friendly solution for SSL management, offering peace of mind and a continuous online presence.
Stocks Application
The stocks application is a project developed for a client to visually monitor and track the rise and fall of stock prices in an engaging and interactive way. The application is designed to provide real-time updates and allow users to manage their personalized stock collections.
KEY FEATURES
• Animated wheel interface: Stocks are represented as bubbles on an animated wheel, with varying sizes reflecting their relative importance or value. Stocks with price increases appear green, while price decreases are red.
• Category connections: Clicking on a stock bubble dynamically highlights and connects it to other stocks in the same category, providing insights into related investments.
• Customizable collections: Clients can add stocks from companies like Amazon, Google, Tesla, or any others of interest to their collection.
• Real-time data: The app is integrated with a reliable financial API to fetch official stock information, ensuring accurate and up-to-date data for decision-making.
KEY FEATURES
• Animated wheel interface: Stocks are represented as bubbles on an animated wheel, with varying sizes reflecting their relative importance or value. Stocks with price increases appear green, while price decreases are red.
• Category connections: Clicking on a stock bubble dynamically highlights and connects it to other stocks in the same category, providing insights into related investments.
• Customizable collections: Clients can add stocks from companies like Amazon, Google, Tesla, or any others of interest to their collection.
• Real-time data: The app is integrated with a reliable financial API to fetch official stock information, ensuring accurate and up-to-date data for decision-making.
AI-powered Bitcoin Signal Platform
Developed an algorithmic trading platform for analyzing Bitcoin market data and generating model-driven trading signals. Built data ingestion, feature engineering, validation, backtesting, and monitoring workflows, plus supporting APIs and dashboards using Python, TypeScript, PostgreSQL, and cloud services.
Casino Game Math and Validation Platform
Engineered a regulated Rust/Axum slot engine with provably fair ChaCha20 RNG and casino mechanics. Validated game math via an independent payout oracle, Monte Carlo RTP simulations with a +/-0.5pp confidence interval gate across modes, feature analysis, and 96.51% target calibration. Built compliance controls for auditable validation workflows.
Edge AI and IoT Voice Interpreter Platform
Built an AI-powered edge interpreter for mobile and connected devices, orchestrating microphone capture through on-device Whisper.cpp speech recognition, ML Kit translation, Piper neural text-to-speech, and speaker output across Android and iOS. Added device-aware model selection, offline fallbacks, seven-language support, privacy-first local inference, and approximately five-second end-to-end latency.
AI-powered Loan Payback Prediction SaaS
Built and productionized a LightGBM ensemble that predicts loan payback probability from applicant and credit data, achieving 90.32% accuracy and 91.59% AUC-ROC with average inference below two milliseconds. Engineered credit-risk features and deployed versioned model artifacts behind secure single and batch prediction APIs for financial institutions.
AI Investment Intelligence Platform
Designed and built an agentic AI investment-intelligence platform that translates long-term, fundamentals-driven investment principles into autonomous, evidence-driven decision workflows. Delivered a Python/FastAPI service backed by PostgreSQL to persist research, derived financial features, portfolio signals, watchlists, alerts, and asynchronous analysis jobs.
Agentic Document Intelligence & MCP Tool Platform
I built a secure, asynchronous document-intelligence API that enables AI agents to turn images and documents into schema-constrained JSON. I designed the workflow to keep untrusted source files off the public API: clients upload directly to a private S3 bucket using presigned URLs; API Gateway creates and submits jobs; SQS and Lambda workers perform extraction using an OpenAI-compatible vision LLM; and a DLQ isolates failures. The service tracks accounts, API keys, jobs, token usage, and credit reservations in DynamoDB; it validates JSON Schema outputs and exposes deterministic job-status retrieval. The API is well-suited for integration as an MCP tool back end, with Python and TypeScript SDKs for application and agent consumers.
Education
2006 - 2007
Master's Degree in Business Administration
Catholic University of Chile - Santiago, Chile
1988 - 1994
Bachelor's Degree in Computer Science
National Polytechnic School - Quito, Ecuador
Skills
Libraries/APIs
React, Node.js, jQuery, React Redux, REST APIs, Amazon API, Stripe, OpenAI API, API Development, AWS Amplify, Stripe API, PayPal API, SQLAlchemy, PyTorch, React Query, Vimeo API, Google API
Tools
Git, GitHub, AWS Command Line Interface (CLI), Amazon Cognito, Auth0, Jira, Webpack, ChatGPT, Stripe Checkout, Expo, Claude, Prisma, AWS AppSync, PDFTron, Apache NiFi, Figma, AWS CodeBuild, AWS CodeDeploy, Amazon OpenSearch, Amazon Simple Queue Service (SQS), Amazon Simple Notification Service (SNS), Amazon CloudWatch, AWS CloudFormation, Sequelize, AWS SDK, Amazon Elastic Container Service (ECS), AWS Fargate, AWS IAM, Qualtrics, AWS Step Functions, MongoDB Atlas, Elastic, Whisper
Languages
JavaScript, HTML5, CSS, TypeScript, HTML, Python, XML, GraphQL, SQL, Java, Sass, Rust, Kotlin, C++, Go
Frameworks
Redux, Bootstrap, Express.js, JSON Web Tokens (JWT), React Native, Jest, Selenium, JUnit, Next.js, NestJS, Tailwind CSS, Angular, AngularJS, Django, Spring Boot, Electron, Spring, Swagger, Material UI, Flask, LightGBM
Paradigms
Responsive Layout, Event-driven Programming, REST, ETL, DevOps, Model Context Protocol (MCP), Compiler Design, Microservices Architecture, Serverless Architecture, Microservices, Requirements Analysis, Lambda Architecture
Platforms
Amazon Web Services (AWS), Android, iOS, Linux, Windows Server, Google Cloud Platform (GCP), Mobile, Oracle, JEE, Docker, AWS Lambda, Amazon EC2, Firebase, Jupyter Notebook, RunPod, Oracle Database
Storage
PostgreSQL, MariaDB, SQLite, JSON, MySQL, Redshift, Elasticsearch, Amazon DynamoDB, MongoDB, PL/SQL, Amazon S3 (AWS S3), NoSQL, Amazon Aurora, Redis Cache, Data Pipelines, Database Architecture, Databases
Other
OOP Designs, Software Architecture, Artificial Intelligence (AI), Full-stack, Cross-browser Compatibility, Front-end, APIs, User Interface (UI), Integration Testing, API Integration, Integration, Architecture, Cloud, API Gateways, Message Queues, Authentication, Middleware, CTO, Front-end Development, Large Language Models (LLMs), Payment Gateways, Algorithms, Minimum Viable Product (MVP), Startups, OpenAI, SaaS, Product Development, SaaS Product Management, Customer Relationship Management (CRM), System Architecture, AI Agents, Agentic AI, AWS Cloud Architecture, Fractional CTO, Generative Artificial Intelligence (GenAI), Gemini, Solution Architecture, Statistics, WebSockets, UI Components, Security, DNS, Async Batch Processes, Payment APIs, Scalability, Apollo, NiFi, Project Portfolio Management (PPM), Multitenancy, PWA, Springbot, Optical Character Recognition (OCR), Images, Identity & Access Management (IAM), LangChain, Amazon Titan, Amazon Bedrock AgentCore, FastAPI, Stable Diffusion, LoRa, Embeddings from Language Models (ELMo), Machine Learning, Prompt Engineering, Algorithmic Trading, People Management, Operations, Full-stack Development, Amazon RDS, Lambda Functions, CI/CD Pipelines, OpenAI GPT-3 API, OpenAI GPT-4 API, Back-end, Technical Leadership, Technical Architecture, Scraping, Web Scraping, Containerization, Amazon API Gateway, Relational Database Services (RDS), RSS Feeds, Apollo Server, ECS, PDF, AWS CodePipeline, Team Leadership, Google Colaboratory (Colab), AIM, Styled-components, Natural Language Processing (NLP), Search, Search Engines, Natural Language Search, Full-text Search, Chatbots, AI Integration, Data Science, Serverless, Mobile GPS, UI Maps, Weather, SVG, AWS Secrets Manager, Axum, Monte Carlo Simulations, Statistical Validation
Collaboration That Works
How to Work with Toptal
Toptal matches you directly with global industry experts from our network in hours—not weeks or months.
1
Share your needs
Discuss your requirements and refine your scope in a call with a Toptal domain expert.
2
Choose your talent
Get a short list of expertly matched talent within 24 hours to review, interview, and choose from.
3
Start your risk-free talent trial
Work with your chosen talent on a trial basis for up to two weeks. Pay only if you decide to hire them.
Top talent is in high demand.
Start hiring