Cognimate is a breakthrough rehabilitation solution to help patients recover after stroke; clinically proven to be 2.5x times more effective than traditional rehabilitation methods. Our solution consists of hardware – a glove, which tracks hand movement and provides haptic feedback – and software, which helps make the rehabilitation process captivating and not boring

• Created a cryptocurrency exchange aggregator MVP for cross-exchange trading strategies (e.g., trailing stop and risk management) while leading a team of 6 developers. Designed a microservice system with Clean Architecture and set up CI/CD.• Stack: Python, Aiohttp, Django, async SQLAlchemy, pytest, Docker, GitLab CI. AWS: Lambda, PostgreSQL, Redis, EC2, SAM, CloudFormation.

• Developed a quantitative crypto trading framework for model optimization, feature engineering, and live strategy execution. Created servers auto-scaling tool for mass backtesting of thousands of trading algorithms. Evaluated >50 price/volume-based algorithms. Researched tens of subject matter books and scientific articles.• Stack: C#, Lean Engine, Python, JavaScript, scikit-learn, pytest, AWS EC2, Boto3.

• Created a currency exchange (20+ pairs), crypto-wallet and ERC-20 token for a unit trust. Researched blockchain design and consensus algorithms (BTC/ETH-based) and presented as a crypto-conference speaker.• Stack: Solidity, Python, Django, Postgresql, pytest.