Senior Machine Learning Engineer with 10+ years of experience in Deep Learning, Recommender Systems, NLP, and Computer Vision. Currently providing ML & GenAI consulting for S&P 600 companies at Factored.
10+
Years of experience
500+
Students mentored
Top 4%
Stack Overflow (Python)
Silver
Kaggle medal
Context engineering is the discipline that separates hobbyist LLM experiments from production-grade AI systems. This guide covers everything — from RAG and memory to agentic loops, token budgeting, and security — so you can build agents that actually work.
A step-by-step guide to building a fast, bilingual personal blog and portfolio site using Astro 5, Tailwind CSS v4, and Tokyo Night theme — exactly how this one was built.
What if we could eliminate traditional feature engineering by converting raw tabular data into text and then into vector embeddings? Exploring the tab2vec framework and what the experiments revealed.
This site — a bilingual (EN/PT) personal blog and portfolio built with Astro 5, Tailwind CSS v4, and Tokyo Night theme.
Python package for sorting Google Scholar search results by citation count — over 800 stars on GitHub.
Deep Learning feature extractor for images using Transfer Learning models (ResNet, VGG, EfficientNet, and more).