Building intelligent systems at the intersection of quantitative finance, machine learning, and software engineering.
I design end-to-end AI-powered trading pipelines — from raw market data ingestion through regime classification and signal extraction to live autonomous execution. I also build complex interactive web applications from scratch, shipping 30k+ line single-file apps with zero dependencies.
AI / Machine Learning Regime detection and classification systems, multi-dimensional feature engineering, systematic hypothesis testing across 360+ parameter configurations, out-of-sample validation pipelines, automated signal distillation with statistical filtering
Quantitative Trading Systems Designed and validated 100+ strategy variants across 6 CME futures instruments (CL, NQ, YM, ES, RTY, ZF). Built a 3-stage research pipeline: phenomenon scanning → regime-conditional filtering → cost-aware exit optimization. Live deployment via MetaTrader 5 Python bridge.
Full-Stack Engineering Production-grade Python backends, data pipeline architecture, REST API integration (Databento, MetaTrader5), vanilla JavaScript front-ends with Canvas API visualizations, real-time animation engines, bilingual UI systems — all built from scratch without frameworks.
| Repository | What It Does | Stack |
|---|---|---|
| regime-alpha-engine | 3-stage ML research pipeline — scans 10 market phenomena across 36 regime contexts (volatility × momentum × session) on 14 instruments | Python · pandas · numpy · Databento |
| cl04-trend-pullback | Autonomous crude oil trading bot — EMA crossover + ATR stops, 5.2× return/drawdown ratio, deployed to live markets | Python · MetaTrader5 · MQL5 |
| portfolio-momentum-trading | Multi-market momentum portfolio with adaptive position sizing — PF 3.3, 66% win rate across 4 index futures | Python · pandas · numpy |
| atlas-of-a-life | 33,000-line interactive historical atlas — Canvas constellation visualization, era navigation, biographical journeys | JavaScript · HTML5 Canvas · CSS3 |
| know-thyself-pro | Human Design intelligence calculator — full chart computation engine, gate/channel analysis, bilingual EN/SK | JavaScript · HTML5 · CSS3 |
Languages: Python · JavaScript · MQL5 · SQL · HTML5 · CSS3
AI/ML & Data: pandas · NumPy · scikit-learn · statistical modeling · feature engineering · regime classification · time-series analysis
Trading Infrastructure: Databento API · MetaTrader 5 · backtesting engines · cost modeling · position sizing · risk management
Engineering: Git · REST APIs · data pipelines · Canvas API · real-time systems · single-file architecture
I'm seeking a Full-Stack AI Engineer role where I can apply my experience building intelligent, data-driven systems — whether that's ML pipelines, autonomous agents, quantitative models, or production software that turns complex data into actionable decisions.
📫 tomasbatovsky@gmail.com · 📍 Slovakia