Henrique Branco
Tech Lead Engenharia De Machine Learning at Neon
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolHenrique Branco is a Tech Lead in Machine Learning Engineering with six years of experience building and shipping data products and ML models, currently based in San Francisco. He has deployed production forecasting pipelines on GCP (Vertex AI, BigQuery, Kubeflow) and standardized development practices that cut model development from months to weeks and production rollout to days. A hands-on Python developer and educator, he has authored multiple Coursera courses, led large Python bootcamps, and taught postgraduate AI classes on intelligent agents and chatbots. Henrique contributes to open-source data tooling—improving code quality and type safety in the popular PandasAI project—and emphasizes maintainable architecture, CI, and data quality pipelines. His background spans RPA, automation, and cloud engineering, giving him a practical systems view that blends process automation with ML. Fluent in Portuguese and conversational in German, he pairs technical depth with clear knowledge transfer and tooling evangelism.
6 years of coding experience
7 years of employment as a software developer
Data Science and Analytics Data Science, Data Science and Analytics Data Science at MBA USP/EsalqBacharelado em Engenharia Engenharia Mecânica, Bacharelado em Engenharia Engenharia Mecânica at Universidade Federal de Uberlândia - UFU
English, German, Portuguese, Spanish
Stackoverflow
1,828reputation
246kreached
95answers
42questions
Github Skills (18)
python10
data-science10
pandas10
data-analysis10
typehinting9
refactoring9
type-checking9
ai8
data-visualizations7
llm7
data-visualisation7
data-visualization7
yfinance6
windows6
pyspark6
Programming languages (9)
Github contributions (5)
sinaptik-ai/pandas-ai
Apr 2023 - Nov 2023
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:1 review, 14 PRs, 1 push in 6 months
Contributions summary:Henrique primarily contributed to code style improvements and refactoring efforts within the PandasAI project. Their commits focused on applying code formatting (Black, isort), improving type hints, and inlining variables for enhanced readability. The changes were made across various files, including core PandasAI files, example scripts, and test files, showing a focus on code quality and maintainability throughout the project.
aicsvdatadata-analysisdata-science
HenriqueAJNB/python-para-todos
Jun 2024 - Nov 2024
Contributions:2 reviews, 8 PRs, 138 pushes in 4 months
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