Michal Barodkin

Python, FastAPI, PostgreSQL, Docker, TS2Vec, XGBoost, Next.js, React, Zustand, Azure. Deep in ML+backend+infra. Strong in custom data pipelines, SCG signal processing.

Voice-based LLM UX, better TS2Vec variants, embedding search infra. Experimenting with async performance tuning, vector memory agents, and scalable ML APIs.

HeartScan (browser-based SCG heart-rate API — no app, no cam) and Blatt (AI landing page engine)

Open to collabs on low-cost healthtech, high-accuracy ML infra, time-series modeling.