Fabiano Calado, Developer in Campinas - State of São Paulo, Brazil
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Fabiano Calado

Full-stack Developer

Campinas - State of São Paulo, Brazil

Toptal member since May 14, 2026

Bio

Fabiano is a full-stack and AI engineer with experience designing and deploying production-grade LLM systems. He combines GPT/Gemini, RAG, vector databases, and data pipelines to build intelligent products. With 10+ years of experience in full-stack development and data engineering, he has focused on end-to-end AI applications through a goal-oriented approach.

Portfolio

Pyyne
TypeScript, Python, React, LangGraph, CI/CD Pipelines, Node.js, NestJS...
CECONTE Treinamentos Profissionais
React, Node.js, GraphQL, Lambda Functions, Amazon Web Services (AWS), Linux...
Bemaker
Machine Learning, Objectives & Key Results (OKRs)...

Experience

  • TypeScript - 9 years
  • Python - 9 years
  • CI/CD Pipelines - 4 years
  • NestJS - 4 years
  • Databricks - 4 years
  • FastAPI - 3 years
  • LangGraph - 1 year
  • RAG Systems - 1 year

Preferred Environment

LangGraph, NestJS, React, CI/CD Pipelines, Prefect, Node.js, FastAPI, Databricks, Terraform, RAG Systems

The most amazing...

...work I've done involved performing platform query optimization, reducing the AWS bill from $10,000 to $3,000.

Work Experience

Senior AI and Full-stack Engineer

2022 - 2026
Pyyne
  • Built a multi-agent AI platform (8 agents, LangGraph, RAG) to aggregate and analyze public company data, generating automated investment reports for a PE firm, cutting manual analysis time from weeks to hours.
  • Designed and deployed a GPT-powered natural language BI platform on GCP, enabling non-technical users to query business data via LLMs, avoiding an estimate of $300,000 per year in analytics hiring costs.
  • Built an AI app to generate patient cases and questions to educate doctors about a specific drug. The app replicated human research, decreasing the time to create each case from 3 months to 1 month.
  • Led the creation of an AI platform for a marketing startup that gathered clients with a total revenue of $500+ million in the 1st year.
  • Optimized queries on an ETL pipeline, decreasing the AWS costs from $10,000 to $3,000.
Technologies: TypeScript, Python, React, LangGraph, CI/CD Pipelines, Node.js, NestJS, Terraform, OpenAI, Gemini, LLM Integration, LangChain, Amazon Web Services (AWS), Google Cloud, Azure, Next.js, Tailwind CSS, Databricks, PySpark, Prefect, Apache Airflow, Architecture, Leadership, Team Mentoring, Data Engineering, SQL, Databases, Software Development, Agentic AI, Artificial Intelligence (AI), Full-stack, Generative Artificial Intelligence (GenAI), Minimum Viable Product (MVP), Product Management, Prompt Engineering, Data Lakehouse, Linear, Express.js, Agentic AI Systems, Technical Leadership, Docker, AI Agent Orchestration, AI Automation, JavaScript, Communication, API Integration, Database Design, Tailwind UI, OpenAI API, Claude, OpenAPI, Jest, Swagger, API Gateways, REST APIs, RESTFul APIs, Microservices, AI Agents, Large Language Models (LLMs), Cloud, Back-end Development, API Design, AWS Secrets Manager, Cloud Run, Documentation, Role-based Access Control (RBAC), Google Cloud Platform (GCP), Apache Kafka, BigQuery, Redis, Fintech, OAuth 2, Claude Code, Cursor AI, Integration, Scalable Application, Scalable Architecture, Scalable Platforms, Compliance, QuickBooks API, Agentic Coding, Full-stack Development, Software Architecture, API Architecture, APIs, JSON Web Tokens (JWT), Solution Architecture, AI Development, Automation, Cloud Infrastructure, DevOps, Docker Compose, LangSmith, Scripting, IT Security, API Development, API Testing, Back-end, Gemini API, Vibe Coding, Vite, AWS Cloud Architecture, Stripe, SendGrid, Google Drive API, Product Listings, Debugging, Troubleshooting, Security, AI Integration, Finance, Software Design, Third-party APIs, Data Pipelines, AI-assisted Development, Relational Databases, Finance APIs, Financial APIs, Financial Data, Agentic RAG Systems, RAG Architecture, Retrieval-augmented Generation (RAG), Figma, AI Tools

Full-stack Developer, Tech Lead

2021 - 2022
CECONTE Treinamentos Profissionais
  • Led development of a scalable e-learning platform serving 3,000+ students with integrated payments and automation.
  • Built internal systems that tripled sales team productivity through CRM optimization and workflow automation.
  • Collaborated with marketing and product teams to support 250% business growth through data-driven decision-making.
Technologies: React, Node.js, GraphQL, Lambda Functions, Amazon Web Services (AWS), Linux, PostgreSQL, Data Analysis, IT Governance, Scrum, Agile, Databases, Software Development, Artificial Intelligence (AI), Full-stack, Minimum Viable Product (MVP), Product Management, Express.js, Technical Leadership, AI Automation, JavaScript, Communication, API Integration, Database Design, REST APIs, RESTFul APIs, Microservices, Cloud, Back-end Development, API Design, Documentation, Role-based Access Control (RBAC), Integration, Payments, Scalable Application, Scalable Architecture, Scalable Platforms, Compliance, Full-stack Development, Software Architecture, APIs, JSON Web Tokens (JWT), Solution Architecture, Automation, Scripting, Bash, Bash Script, IT Security, API Development, Zoom, API Testing, Back-end, AWS Cloud Architecture, Google Drive API, Debugging, Troubleshooting, Security, DocuSign, Software Design, Third-party APIs, Relational Databases

Data Scientist

2018 - 2021
Bemaker
  • Developed machine learning models and taught applied ML concepts as an instructor.
  • Achieved the top 1% ranking in a Kaggle competition.
  • Contributed to business strategy and built the financial plan for startup growth.
Technologies: Machine Learning, Objectives & Key Results (OKRs), Key Performance Indicators (KPIs), Artificial Intelligence (AI), Communication, JSON Web Tokens (JWT), Model Evaluation, Scripting, Relational Databases

Data Analyst, Branch Manager

2017 - 2019
WM Manhattan Investments
  • Built data-driven customer insights and analytics systems, increasing customer satisfaction from 17% to 74% in 6 months.
  • Developed dashboards and AI-based pattern detection tools to inform product and business decisions.
  • Managed a branch with sales and operations teams, growing the branch's revenue by 100%.
Technologies: Tableau, Data Analysis, Objectives & Key Results (OKRs), CRM, Google Apps Script, Redshift, Software Development, Artificial Intelligence (AI), Product Management, Express.js, Technical Leadership, JavaScript, Communication, Fintech, Integration, APIs, JSON Web Tokens (JWT), Scripting, API Development, Salesforce, Troubleshooting, Finance, Third-party APIs, Relational Databases, Finance APIs, Financial APIs, Financial Data, MySQL

Operations Technician | Product Owner

2006 - 2017
Petrobras
  • Gathered operational requirements and translated complex industrial workflows into technical specifications, ensuring alignment between field operations and engineering implementation.
  • Led the modernization of the industrial automation platform as product owner, translating operational requirements into technical implementation and reducing system failure rates by 66%.
  • Oversaw the development and deployment of a new operational unit’s automation system, coordinating technical requirements and implementation efforts that increased power output by 40%.
Technologies: Product Management, Product Owner, Industrial Automation, OPC Data Access, OPC Server, Management, Product Development, Relational Databases

Experience

Marathon Data

https://marathondataco.com
A platform for a marketing company that gets data from user accounts on marketing platforms (over 20 sources like Google Ads and YouTube Analytics). The solution transforms data to power a dashboard system and uses AI to predict revenue based on investment across any platform, quantifying social engagement.

RAG System

https://github.com/caladoxd/RAG-system
A template RAG system that I used on my last project, measuring latency, context relevance, answer relevance, and faithfulness. It implements hybrid search and re-ranking, connected to a FastAPI server.

Multi-agent RAG Platform for Financial Analysis

I built a multi-agent AI platform with eight agents using LangGraph and RAG to aggregate and analyze public company data, generating automated investment reports for a private equity firm and reducing manual analysis time from weeks to hours. The agentic system was built using LangGraph and Milvus vectorDB, deployed in containers on AWS ECS, managed through Terraform scripts, and automated with CI/CD. To support the platform, I also built a scalable ETL pipeline using Prefect and Databricks, storing the final data in an RDS PostgreSQL database.

Education

2005 - 2010

Bachelor's Degree in Computer Science

University Center of Belo Horizonte (UniBH) - Belo Horizonte, Brazil

2002 - 2005

Associate's Degree in Electromechanics

Federal Center for Technological Education (CEFET) - Belo Horizonte, Brazil

Skills

Libraries/APIs

React, Node.js, PySpark, OpenAI API, OpenAPI, REST APIs, API Development, QuickBooks API, Google Drive API, Stripe

Tools

Terraform, Prefect, Claude, BigQuery, Claude Code, Docker Compose, Zoom, Apache Airflow, Tableau, AWS Cloud Development Kit (CDK), SendGrid, Figma

Languages

TypeScript, Python, SQL, Google Apps Script, JavaScript, GraphQL, Bash, Bash Script

Frameworks

NestJS, Data Lakehouse, Express.js, Swagger, JSON Web Tokens (JWT), LangGraph, Next.js, Jest, OAuth 2, Tailwind CSS

Paradigms

Database Design, Microservices, Role-based Access Control (RBAC), Scalable Application, API Architecture, Automation, DevOps, Scrum, Agile, Management, Objectives & Key Results (OKRs)

Platforms

Databricks, Amazon Web Services (AWS), Azure, Docker, Cloud Run, Google Cloud Platform (GCP), LangSmith, Linux, Apache Kafka, Salesforce

Storage

Databases, PostgreSQL, Data Pipelines, Relational Databases, Redis, MySQL, Google Cloud, Redshift

Other

CI/CD Pipelines, FastAPI, Software Development, LLM Integration, LangChain, Architecture, Linear, Prompt Engineering, Agentic AI, Artificial Intelligence (AI), Full-stack, Generative Artificial Intelligence (GenAI), Minimum Viable Product (MVP), Product Management, AI Automation, API Integration, Communication, RESTFul APIs, AI Agents, Cloud, Large Language Models (LLMs), Back-end Development, API Design, AWS Secrets Manager, Documentation, Cursor AI, Integration, Scalable Architecture, Scalable Platforms, Agentic Coding, Full-stack Development, Software Architecture, APIs, Solution Architecture, AI Development, Cloud Infrastructure, Scripting, API Testing, Back-end, AWS Cloud Architecture, Debugging, Troubleshooting, Security, AI Integration, Finance, Software Design, Third-party APIs, AI-assisted Development, Agentic RAG Systems, RAG Architecture, Retrieval-augmented Generation (RAG), AI Tools, RAG Systems, OpenAI, Leadership, Data Engineering, Lambda Functions, IT Governance, Key Performance Indicators (KPIs), Embeddings from Language Models (ELMo), Electrical Engineering, Mechanical Engineering, Vector Databases, Model Evaluation, Agentic AI Systems, Technical Leadership, AI Agent Orchestration, Tailwind UI, API Gateways, Fintech, Product Owner, Industrial Automation, Product Development, Payments, Compliance, Gemini API, Vibe Coding, Vite, Product Listings, Finance APIs, Financial APIs, Financial Data, Gemini, Team Mentoring, Data Analysis, Machine Learning, CRM, Linear Regression, Milvus, OPC Data Access, OPC Server, IT Security, DocuSign

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