Eugenio "Jay" Zuccarelli

artificial intelligence // machine learning // data science

about

I build applied AI and ML systems — working across the full lifecycle from research and modeling to production deployment.

work

applied ai
agentic ai // generative models // production ai
retrieval-augmented generation // evals // rlhf
ml modeling
supervised // unsupervised // reinforcement learning
feature engineering // model selection // hyperparameter tuning
data science
experimentation // causal inference
forecasting // decision systems

stack

python // pytorch // tensorflow // aws // gcp
sql // spark
docker // kubernetes
git // linux // bash

projects

AI-powered form autofill agent built on browser-use — describe yourself once, point it at any web form, and it fills every field automatically. you review and submit manually.
Python library implementing sparse regression for high-dimensional data with automatic feature selection. published on PyPI — 5k+ downloads.
Julia implementation of gradient boosting for training and prediction. registered in the official Julia package registry, installable via Pkg.jl.

contact

github
linkedin
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