I work with machine learning, algorithmic trading, and backend development.
Founder and CEO of DQuant — an open-source project focused on automated volatility forecasting for financial markets.
Machine Learning
- PyTorch, LSTM, CNN — experiments with financial time series prediction
- Backpropagation, model optimization, feature engineering
- Applied neural networks to trading (gold, oil, forex)
Quant & Algorithmic Trading
- Developed trading advisors (EAs) and custom indicators on MQL4/MQL5
- Implemented GARCH models, Monte-Carlo simulations, and stochastic modeling
- Deep understanding of support/resistance levels, risk management, and trader psychology
Backend & Full-Stack
- Built a complete EdTech platform (DayLang) from scratch in 5 months
- Django + PostgreSQL backend
- Authentication (including third-party services)
- LLM integration
- Server deployment
