
Building intelligent systems and solving real-world problems with machine learning, research, and a focus on shipping.
Machine Learning Engineer and Researcher with expertise in NLP, Computer Vision, and Healthcare AI. Skilled in building scalable ML solutions, pursuing advanced research in cross-domain and few-shot learning for healthcare applications, and highly competitive in machine learning challenges.
Advanced AutoML pipeline — modular Python system for automated feature engineering and hyperparameter ensembling.
Pediatric early sepsis detection — Random Forest model for PICU deployment achieving 0.983 AUC, predicting 6h ahead.
Processed Sentinel-2 satellite imagery achieving 0.964 correlation for atmospheric monitoring using CatBoost.
NLP pipeline for GDPR/FERPA compliance, automatically anonymizing sensitive data in educational datasets.
Providing technical mentorship and portfolio reviews to 50+ aspiring data science students globally.
Led community campaigns to support local business growth and entrepreneurial funding initiatives.
I help students and early-career engineers break into Machine Learning — from first competition medal to first research paper.
Open to research collaborations and offering services in ML / AI, data science, and research. Tell me what you're building and let's find a way to ship it.