Yandex Ads & Ex-Neuro • ML in Antifraud • Portfolio/Execution Research
- bRECs — Bayesian Recommender / Portfolio OptimizerProbabilistic factors, fast inference (<50ms), A/B harness. PyTorch, FastAPI, Docker, Postgres.
- Finam AI Chat — prize‑winning NL→TradeAPI assistant. Safety‑aware LLM to structured trade intents. FastAPI, Docker, policy layer.
- GoodNotes‑AI‑Markup — open dataset & tooling for handwriting recognitionCustom OD categories and OCR; labeling pipelines; export to HF; notebooks for training/eval. Ask questions, get SQL/Excel actions and reports; LLM + Python; quick data workflows for ops.
- HSE University — Economics & Data Science (Relevant: ML, Deep Learning, Stochastic Processes, Quantitative Finance, Econometrics)
- YSDA (Yandex School of Data Analysis) — ML (NLP, CV) — listener
- CMF (Center for Mathematical Finance) — alumni;
- Vega Fond summer school on DeFi participant
- Finam AI Trade — Winner (prize‑winning AI trader assistant; contributed to Finam Trade API usage)
- Communities: CMF alumni; Vega Fond math finance summer school; YSDA ML track (listener)
- Teaching: HSE — Teaching Assistant (ML‑1/ML‑2)
- Open‑source: contributions across moexalgo/tinkoff‑invest ecosystem; GoodNotes‑AI contributor
- Research/side projects: CEX/DEX arbitrage modeling and LOB/microstructure notes
{
"ml_ops": ["Docker", "FastAPI", "MLflow", "DVC"],
"machine_learning": ["PyTorch", "scikit-learn", "XGBoost", "Transformers"],
"data_science": ["pandas", "numpy", "SQL", "asyncio"],
"quant_finance": ["backtesting.py", "portfolio-optimization", "risk-models"],
"systems": ["C++17", "Bash", "Linux", "Networking"]
}Email • Telegram • LinkedIn Open to opportunities