Willian Fuks is a versatile data scientist and engineer with a decade of experience building production ML and analytics platforms for fintech and retail in São Paulo. He has delivered measurable impact—deploying a PyTorch classifier on SageMaker that processes 40M+ monthly transactions with a 12 percentage-point accuracy gain, and designing EMR/Spark pipelines handling hundreds of GB/day under tight SLAs. Equally comfortable writing model code and production plumbing, he led Carrefour’s BigQuery/dbt “Source of Truth” initiative (including an open-source dbt plugin) and built serverless recommender systems and A/B testing frameworks at Dafiti. He combines hands-on deep learning, LLM tooling and prompt evaluation (raising biomarker extraction accuracy from ~30% to ~70%) with pragmatic data engineering practices that emphasize observability, cost control and operability. Notably, he maintains a self-made portfolio (maiolnir.com) that reflects a playful, product-minded approach to solving hard data problems.
10 years of coding experience
8 years of employment as a software developer
Master, Machine Learning applied to e-Commerce data, Master, Machine Learning applied to e-Commerce data at USP - Universidade de São Paulo
Contributions:2 releases, 5 PRs, 17 pushes in 1 year 3 months
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