Gustavo is available for hire
Hire GustavoGustavo Fonseca
Verified Expert in Engineering
Software Developer
Location
Curitiba - State of Paraná, Brazil
Toptal Member Since
March 13, 2024
Gustavo has 7+ years of experience as a senior data scientist and Python developer. He led the AIaaS initiative at Visagio, where he enhanced model efficiency 5x and developed a recommendation system, boosting revenue by 35%. Gustavo co-founded a fintech startup and drove it to achieve a R$1 million valuation within eight months. His year in Germany was marked by winning the SpaceX Hyperloop Innovation Prize. Gustavo's expertise in AI, ML, APIs, and ETL drives technological innovation.
Portfolio
Visagio
Engineering, Data Engineering, Systems Engineering, Apache Spark, Spark...
Visagio
Python 3, Google Optimize, Customer Relationship Management (CRM), HTML Email...
Visagio
Python 3, SAP, Microsoft Power BI, ELT, Amazon Web Services (AWS), Automation...
Experience
Availability
Part-time
Preferred Environment
Docker, Python 3, FastAPI, Apache Airflow, Flask, Spark, Kubernetes, Amazon Web Services (AWS), Machine Learning, Artificial Intelligence (AI)
The most amazing...
...project I've developed was an end-to-end recommendation system alongside a sales forecasting model, boosting revenue by 35% and reducing stock by 17%.
Work Experience
Senior Machine Learning Engineer | Data Scientist
2022 - 2024
Visagio
- Oversaw team operations at vBrain, an AI-as-a-service (AIaaS) startup for ML model development, testing, and deployment, doubling revenue, cutting costs, and reducing client error from 19% to 3% in one semester.
- Mentored junior and core developers, contributing to the growth and development of the team.
- Led the creation of a product recommendation system for a physical food retailer. Crafted robust data pipelines, an AI model, and a low-latency API for an app back end and KPI monitoring, enhancing user experience and driving 35% revenue growth.
- Boosted retail efficiency by cutting the stock-to-sales ratio by 17% and stockouts by 5%, saving 12,000 labor hours. Enhanced sales forecasting, stock optimization, data structure, and airflow DAGs, reducing storage costs and model time five times.
- Optimized optical character recognition (OCR) for document understanding using Python, Azure AI Document Intelligence, Amazon Textract, LlamaIndex, and ChatGPT, increasing accuracy by 10% for our document processing solution.
- Decreased the default rate by six percentage points by implementing a credit scoring model in a multinational company.
- Developed a computer vision software designed to track products along an industrial treadmill.
Technologies: Engineering, Data Engineering, Systems Engineering, Apache Spark, Spark, PySpark, Data Science, Data Scraping, Databricks, Databases, Data Analysis, Data Analytics, Amazon Athena, AWS Glue, Amazon S3 (AWS S3), Amazon Web Services (AWS), AWS Lambda, OCR, SQL, NoSQL, Amazon DynamoDB, PostgreSQL, MySQL, SQLite, Creative Problem Solving, Statistics, IT Project Management, Agile Project Management, Team Management, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras, Generative AI, Large Language Models (LLMs), OpenAI, OpenAI GPT-3 API, OpenAI GPT-4 API, LlamaIndex, LangChain, Optimization, Google Optimize, Google Analytics, Google Analytics 4, Google Analytics API, Google BigQuery, Azure Databricks, Git, GitHub, GitLab, GitLab CI/CD, FastAPI, Flask, Django, Apache Airflow, Artificial Intelligence (AI), Big Data, Windows Subsystem for Linux (WSL), Linux, Docker, Kubernetes, Automation, Deep Learning, Supervised Learning, Supervised Machine Learning, Unsupervised Learning, Neural Networks, Natural Language Processing (NLP), Chatbots, Testing, A/B Testing, Database Design, Alembic, Celery, Python 3, ELT, Machine Learning, Projects, Programming, Industry 4.0, Fourier Series, Software, Internet of Things (IoT), Spark ML, Matplotlib, Seaborn, Jupyter, Google Colaboratory (Colab), Looker Studio, Selenium, JavaScript, API Integration, Time Series, PyCaret, Python, Pytest, pylint, Unit Testing, Abstract Syntax Trees (AST), APIs, Minimum Viable Product (MVP), User Experience (UX), eCommerce, CI/CD Pipelines, Architecture, Technical Leadership, Back-end, MongoDB, Scraping, Web Scraping, CSS, Computer Vision, Startups, Microservices, API Design, Redis, API/Services Architecture, REST, Algorithms, Datasets, Large Data Sets, Google Cloud, React, Integration, Data Extraction, REST APIs, OpenCV, Image Processing, Azure, SDKs, Microservices Architecture, API Gateways, Data Visualization, Beautiful Soup, Visual Studio Code (VS Code), No-code Development, Leadership, Software Architecture, ChatGPT, Data, JSON Web Tokens (JWT), User Interface (UI), Amazon EC2, Serverless, Graphics Processing Unit (GPU), Full-stack, API Testing, Bash, SQLAlchemy, Information Retrieval, Transformer Models, API Development, Debugging, Code Review, Mathematics, Image Generation, Artificial Intelligence as a Service (AIaaS), Machine Learning Operations (MLOps), Cloud Deployment, Orchestration, Full-stack Development, Project Management, Scripting, Notion, Data Modeling, System Architecture, Data Pipelines, Infrastructure, Application Performance Monitoring, DevOps, Cron, Amazon RDS, Cloud Security
Data Scientist
2021 - 2022
Visagio
- Guided stakeholder interviews to pinpoint business challenges and enhancements, prioritizing tasks based on impact versus effort analysis. This led to actionable hypotheses and data analyses our team executed, driving targeted solutions.
- Developed a comprehensive dashboard for in-depth analysis of client data, covering lifetime value, marketing campaign performance, acquisition sources, conversion funnels, acquisition costs, segmentation, and email engagement, among other metrics.
- Pioneered and executed an A/B test to analyze and modify shipment cost impact on conversion rates, catalyzing a data-driven paradigm shift across company initiatives.
- Developed a recommendation system for email marketing customization, achieving a 20% increase in open rates and doubling revenue from these campaigns.
- Spearheaded over 30 experiments using Google Optimize on our eCommerce platform, boosting conversions by 30% and providing directors with invaluable insights.
Technologies: Python 3, Google Optimize, Customer Relationship Management (CRM), HTML Email, A/B Testing, Looker Studio, JavaScript, HTML, Apache Airflow, Spark, ELT, Amazon Web Services (AWS), Machine Learning, Automation, Projects, Programming, Deep Learning, Fourier Series, Optimization, Artificial Intelligence (AI), Software, Data Analysis, Supervised Learning, Data Analytics, Amazon DynamoDB, Agile Project Management, Data Engineering, Unsupervised Learning, Pandas, Matplotlib, Seaborn, Jupyter, Google Colaboratory (Colab), Engineering, Data Science, Data Scraping, Databases, Amazon Athena, AWS Glue, Amazon S3 (AWS S3), AWS Lambda, OCR, NoSQL, PostgreSQL, MySQL, SQLite, Creative Problem Solving, Statistics, Team Management, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras, Google Analytics, Google Analytics 4, Google Analytics API, Google BigQuery, Git, GitHub, GitLab, Windows Subsystem for Linux (WSL), Supervised Machine Learning, Natural Language Processing (NLP), Testing, Selenium, Microsoft Power BI, API Integration, Time Series, PyCaret, Python, Pytest, pylint, Unit Testing, APIs, Minimum Viable Product (MVP), User Experience (UX), eCommerce, CI/CD Pipelines, Architecture, Technical Leadership, Back-end, Scraping, Web Scraping, CSS, Computer Vision, Microservices, API Design, API/Services Architecture, REST, Algorithms, Datasets, Google Cloud, Integration, Data Extraction, REST APIs, Microservices Architecture, Data Visualization, Visual Studio Code (VS Code), Leadership, Data, User Interface (UI), Amazon EC2, Serverless, Google Cloud Platform (GCP), Graphics Processing Unit (GPU), Full-stack, Bash, SQLAlchemy, API Development, Debugging, Code Review, Mathematics, Web Analytics, Orchestration, Full-stack Development, Project Management, Scripting, Notion, Data Modeling, Robotic Process Automation (RPA), Cron, Machine Learning Operations (MLOps), Cloud Security
Python Developer | Data Analyst
2020 - 2021
Visagio
- Designed and deployed a suite of Python-based automation tools that seamlessly integrated SAP ERP systems with the client's proprietary platforms, significantly boosting operational efficiency.
- Conceived and launched a comprehensive Power BI dashboard, enabling stakeholders to visualize critical project KPIs and promptly address anomalies detected through Python-based automation.
- Designed and implemented a monitoring system to guarantee the high-quality execution of team-developed automation, facilitating rapid response and significantly improving project reliability and operational responsiveness.
Technologies: Python 3, SAP, Microsoft Power BI, ELT, Amazon Web Services (AWS), Automation, Projects, Programming, Optimization, Software, Data Analysis, Supervised Learning, Data Analytics, Amazon DynamoDB, Agile Project Management, Data Engineering, Pandas, Matplotlib, Seaborn, Jupyter, Google Colaboratory (Colab), Engineering, Data Science, Databases, Amazon S3 (AWS S3), AWS Lambda, OCR, NoSQL, PostgreSQL, MySQL, SQLite, Creative Problem Solving, Statistics, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras, Git, GitHub, GitLab, Windows Subsystem for Linux (WSL), Supervised Machine Learning, Natural Language Processing (NLP), Testing, A/B Testing, Selenium, API Integration, Time Series, Python, Pytest, Unit Testing, Minimum Viable Product (MVP), CI/CD Pipelines, Architecture, Back-end, Scraping, Web Scraping, REST, Algorithms, Datasets, Integration, Data Extraction, REST APIs, Data Visualization, Visual Studio Code (VS Code), Leadership, Data, Bash, API Development, Debugging, Code Review, Mathematics, Orchestration, Full-stack Development, Scripting, Data Modeling, Robotic Process Automation (RPA), Cron
Co-founder | CTO | Data Scientist | Product Owner
2018 - 2020
Lobo Guara
- Founded Lobo Guara, a fintech disrupting financial advisory through technology. Guided investor presentations valued at $200,000+ in angel round after eight months of foundation.
- Developed a return-on-asset (ROA) optimization tool, which is an asset analysis and a strategic reallocation proposal, achieving 30% revenue growth for our clients.
- Created a customizable chatbot and dashboard, boosting inbound marketing capacity and leads profile data enrichment.
Technologies: Python 3, Selenium, Flask, Pandas, PostgreSQL, NumPy, TensorFlow, Scikit-learn, SQL, Data Analysis, Data Analytics, Testing, A/B Testing, Chatbots, Natural Language Processing (NLP), Data Scraping, Data Science, Amazon Web Services (AWS), JavaScript, Docker, Machine Learning, Automation, Projects, Programming, IT Project Management, Artificial Intelligence (AI), Software, Linux, Deep Learning, Fourier Series, Optimization, Supervised Learning, Agile Project Management, Data Engineering, Unsupervised Learning, Matplotlib, Seaborn, Jupyter, Google Colaboratory (Colab), Engineering, Databases, Amazon S3 (AWS S3), OCR, MySQL, SQLite, Creative Problem Solving, Statistics, Team Management, PyTorch, Keras, Git, GitHub, Django, Windows Subsystem for Linux (WSL), Supervised Machine Learning, Database Design, HTML, API Integration, Time Series, Python, APIs, Minimum Viable Product (MVP), User Experience (UX), CI/CD Pipelines, Architecture, Technical Leadership, Back-end, Scraping, Web Scraping, CSS, Open Source, Startups, Microservices, API Design, API/Services Architecture, REST, Algorithms, Datasets, TypeScript, React, Integration, Data Extraction, REST APIs, OpenCV, Microservices Architecture, Data Visualization, Beautiful Soup, Leadership, Software Architecture, Data, User Interface (UI), Graphics Processing Unit (GPU), Full-stack, Bash, API Development, Debugging, Code Review, Mathematics, Web Analytics, Full-stack Development, Project Management, Scripting, System Architecture, Infrastructure, Robotic Process Automation (RPA), Cloud Security
Innovation and Technology Enginering Intern
2018 - 2019
Bosch
- Assisted in engineering projects and proof-of-concept (POC) prototype development at Bosch's innovation hub, focusing on digital innovation, Industry 4.0, and internet of things (IoT), enriching my expertise in smart technologies.
- Facilitated the automation and digital transition of internal training processes by developing a signature control system, significantly reducing paper use and enhancing training planning through data insights.
- Supported the creation of an automated reporting system for an IoT device monitoring real-time crop data, aiding in the optimization of agricultural management and sustainability through data-driven insights.
Technologies: Python 3, CAD, 3D Printing, Databases, SQL, Embedded Systems, Projects, Programming, Industry 4.0, PID Controllers, Software, Data Analytics, Computer Automation Design (CAD), Robotics, C++, Internet of Things (IoT), Electronics, Data Engineering, Engineering, Data Scraping, OCR, Creative Problem Solving, Statistics, NumPy, Git, GitHub, PCB Design, PCB, Raspberry Pi, Architecture, Scraping, Web Scraping, REST, Algorithms, Datasets, Integration, Data Visualization, Data, Bash, Debugging, Code Review, Mathematics, Scripting
System Engineer
2017 - 2018
TUM Hyperloop
- Received the innovation prize for the 2018 SpaceX Hyperloop Competition.
- Spearheaded the development, prototyping, and testing of innovative rotating Halbach arrays for magnetic levitation and drive control, distinguishing our pod as the sole contender capable of handling a payload over 50kg.
- Orchestrated the design, development, and strategic setup of the LevPod and its levitation module test bench. Employed state-of-the-art technologies to facilitate rapid prototyping, ensuring paramount safety and reliability.
- Managed comprehensive technical domains for the LevPod, including sensor integration, control systems, data acquisition, communication protocols, electrical design, and MATLAB simulations.
Technologies: C++, MATLAB, 3D Printing, Projects, Programming, Industry 4.0, C, Fourier Series, PID Controllers, Predictive Modeling, Optimization, Software, Embedded Systems, Data Analytics, Computer Automation Design (CAD), Robotics, Internet of Things (IoT), Real-time Embedded Systems, Electronics, System Modeling, Matplotlib, Seaborn, Engineering, Systems Engineering, Creative Problem Solving, Statistics, Team Management, NumPy, Git, GitHub, A/B Testing, CAD, Time Series, PCB Design, PCB, Minimum Viable Product (MVP), Architecture, Technical Leadership, Open Source, Algorithms, Data Visualization, Leadership, Data, Debugging, Code Review, Mathematics, Project Management
Undergraduate Researcher
2015 - 2016
Renato Archer Information Technology Center
- Participated in the Droni project, an innovative robotic airship, which was renamed Noamay after its first guided flight was carried out in 2018.
- Developed a hardware and software-based solution for commuting the control signal of the motors between an RC receiver and an embedded computer.
- Created hardware and a Linux-based framework utilizing the Robot Operating System (ROS) for communication between the embedded computer and peripheral components.
Technologies: Robot Operating System (ROS), PCB Design, PCB, 3D Printing, Programming, C, Linux, Raspberry Pi, Robotics, C++, Internet of Things (IoT), Real-time Embedded Systems, Electronics, Engineering, Creative Problem Solving, Statistics, NumPy, Git, GitHub, CAD, Architecture, Open Source, Computer Vision, Algorithms, Debugging, Code Review, Mathematics
Experience
Enhancing Retail Performance with an Advanced Recommendation System
Developed a product recommendation system for a brick-and-mortar food retailer, fundamentally transforming its customer engagement strategy.
I designed robust data pipelines for this project to streamline the extraction, transformation, and loading processes. Utilizing collaborative filtering, I created a recommendation model that dynamically adapts to customer preferences, significantly enhancing the shopping experience. To integrate this solution, I engineered a low-latency API that connects the recommendation model to the retailer's app, ensuring swift and responsive data delivery. The API also included an A/B testing module and comprehensive KPI monitoring capabilities, allowing for real-time performance assessment and optimization.
The system's architecture was planned to withstand the demands of daily operation by over 1,500 sellers, achieving remarkable performance metrics, including sub-200ms latency and exceptional reliability, with zero downtime reported since its deployment. This project has substantially impacted the retailer's business, contributing to a 35% revenue growth per customer by offering personalized shopping experiences and fostering customer loyalty.
I designed robust data pipelines for this project to streamline the extraction, transformation, and loading processes. Utilizing collaborative filtering, I created a recommendation model that dynamically adapts to customer preferences, significantly enhancing the shopping experience. To integrate this solution, I engineered a low-latency API that connects the recommendation model to the retailer's app, ensuring swift and responsive data delivery. The API also included an A/B testing module and comprehensive KPI monitoring capabilities, allowing for real-time performance assessment and optimization.
The system's architecture was planned to withstand the demands of daily operation by over 1,500 sellers, achieving remarkable performance metrics, including sub-200ms latency and exceptional reliability, with zero downtime reported since its deployment. This project has substantially impacted the retailer's business, contributing to a 35% revenue growth per customer by offering personalized shopping experiences and fostering customer loyalty.
Maximizing Returns: Strategies for Financial Portfolio Optimization
Launched a groundbreaking project to transform asset allocation strategies at our startup.
Our focus was on developing a robust optimization model that leverages advanced machine learning algorithms to dynamically allocate assets to maximize returns while minimizing risk for both a final client and brokerage firms. Our system intelligently adjusts investment portfolios by analyzing vast datasets, including financial indicators and historical performance data, suggesting an optimal asset distribution.
Our model's predictive capabilities have enabled more informed decision-making, leading to improved financial outcomes for our clients and generating a 30% increase in revenue.
Our focus was on developing a robust optimization model that leverages advanced machine learning algorithms to dynamically allocate assets to maximize returns while minimizing risk for both a final client and brokerage firms. Our system intelligently adjusts investment portfolios by analyzing vast datasets, including financial indicators and historical performance data, suggesting an optimal asset distribution.
Our model's predictive capabilities have enabled more informed decision-making, leading to improved financial outcomes for our clients and generating a 30% increase in revenue.
vBrain: Democratizing AI for Businesses
vBrain is a cutting-edge AI-as-a-service platform, revolutionizing how businesses integrate AI. Our mission is simple: make powerful AI tools accessible to all, enabling streamlined data analysis, predictive modeling, and automated decision-making.
Utilizing a cloud-native architecture and the latest in machine learning, vBrain is built for scalability and ease of use. Features include an intuitive UI, data preprocessing modules, and a modular setup for seamless integration. Developed through Agile methodologies, our platform ensures rapid deployment and robust performance, leveraging Docker and Kubernetes for operational efficiency.
Traditional barriers to AI adoption—complexity, cost, and system compatibility—are dismantled by vBrain. We offer a user-friendly platform that scales with your business, significantly reducing operational costs and complexity. By integrating effortlessly with current systems with our API, vBrain facilitates the swift adoption of AI, driving immediate value and enhancing decision-making processes.
With vBrain, we were able to decrease a client's stock by 17% and increase revenue by 35% with a recommendation system, making document understanding 10x faster with our NLP solutions.
Utilizing a cloud-native architecture and the latest in machine learning, vBrain is built for scalability and ease of use. Features include an intuitive UI, data preprocessing modules, and a modular setup for seamless integration. Developed through Agile methodologies, our platform ensures rapid deployment and robust performance, leveraging Docker and Kubernetes for operational efficiency.
Traditional barriers to AI adoption—complexity, cost, and system compatibility—are dismantled by vBrain. We offer a user-friendly platform that scales with your business, significantly reducing operational costs and complexity. By integrating effortlessly with current systems with our API, vBrain facilitates the swift adoption of AI, driving immediate value and enhancing decision-making processes.
With vBrain, we were able to decrease a client's stock by 17% and increase revenue by 35% with a recommendation system, making document understanding 10x faster with our NLP solutions.
Education
2024 - 2024
Master of Business Administration (MBA) in Artificial Intelligence and Data Science
XP Education - Online
2013 - 2020
Bachelor's Degree in Systems Engineering
State University of Campinas – UNICAMP - Campinas, Sao Paulo, Brazil
2017 - 2018
Master's Degree in Systems Engineering
Technical University of Munich (TUM) - Munich, Germany
Skills
Libraries/APIs
Pandas, Matplotlib, NumPy, API Development, PySpark, Scikit-learn, TensorFlow, PyTorch, Keras, Google Analytics API, REST APIs, SQLAlchemy, Spark ML, PyCaret, React, OpenCV, MLlib, Beautiful Soup
Tools
Seaborn, Pytest, Apache Airflow, Jupyter, Amazon Athena, AWS Glue, Google Optimize, Google Analytics, Git, GitHub, GitLab, ChatGPT, MATLAB, GitLab CI/CD, Celery, Microsoft Power BI, CAD, pylint, Notion, Cron
Languages
Python 3, SQL, Python, Bash, JavaScript, C, C++, R, HTML, CSS, TypeScript
Paradigms
Data Science, Unit Testing, Automation, Database Design, Microservices, API/Services Architecture, REST, Microservices Architecture, Agile Project Management, Testing, ETL, DevOps
Storage
Amazon S3 (AWS S3), Databases, NoSQL, Amazon DynamoDB, PostgreSQL, MySQL, SQLite, MongoDB, Redis, Google Cloud, Cloud Deployment, Data Pipelines
Platforms
Docker, Amazon Web Services (AWS), Linux, Databricks, AWS Lambda, Workato, Kubernetes, Raspberry Pi, Azure, Visual Studio Code (VS Code), Amazon EC2, Google Cloud Platform (GCP)
Frameworks
Flask, LlamaIndex, Django, Selenium, Spark, Apache Spark, Alembic, JSON Web Tokens (JWT)
Industry Expertise
Project Management
Other
FastAPI, Data Analysis, Data Analytics, Engineering, Creative Problem Solving, APIs, Back-end, Data, Debugging, Code Review, Mathematics, ELT, Machine Learning, Projects, Programming, Deep Learning, Optimization, Artificial Intelligence (AI), Software, Supervised Learning, Data Engineering, Unsupervised Learning, Google Colaboratory (Colab), Looker Studio, Systems Engineering, Data Scraping, OCR, Statistics, Team Management, OpenAI, OpenAI GPT-3 API, OpenAI GPT-4 API, LangChain, Google Analytics 4, Supervised Machine Learning, A/B Testing, API Integration, Time Series, Abstract Syntax Trees (AST), Minimum Viable Product (MVP), Architecture, Technical Leadership, Scraping, Web Scraping, Startups, API Design, Algorithms, Datasets, Integration, Data Extraction, Data Visualization, No-code Development, Leadership, Serverless, Full-stack, Machine Learning Operations (MLOps), Orchestration, Scripting, Robotic Process Automation (RPA), Industry 4.0, IT Project Management, Fourier Series, PID Controllers, Predictive Modeling, Embedded Systems, 3D Printing, Computer Automation Design (CAD), Robotics, Internet of Things (IoT), Real-time Embedded Systems, Electronics, System Modeling, Big Data, Generative AI, Large Language Models (LLMs), Google BigQuery, Azure Databricks, Windows Subsystem for Linux (WSL), Neural Networks, Natural Language Processing (NLP), Chatbots, SAP, Customer Relationship Management (CRM), HTML Email, Robot Operating System (ROS), PCB Design, PCB, User Experience (UX), eCommerce, CI/CD Pipelines, Data Scientist, Flake8, MLflow, Recommendation Systems, Open Source, Computer Vision, Large Data Sets, Generative Adversarial Networks (GANs), Image Processing, SDKs, API Gateways, Software Architecture, User Interface (UI), Graphics Processing Unit (GPU), GPU Computing, API Testing, Information Retrieval, Transformer Models, Image Generation, Artificial Intelligence as a Service (AIaaS), Web Analytics, Full-stack Development, Data Modeling, System Architecture, Infrastructure, Application Performance Monitoring, Amazon RDS, Cloud Security
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