Quantitative Developer

На данный момент Software engineer (backend + ML).

Мои компетенции и опыт

ML Researcher and Backend Developer with 2+ years of experience building production-ready AI systems and scalable microservices. Currently developing machine learning pipelines for financial risk assessment and parallel program performance prediction.

🔬 RESEARCH & DEVELOPMENT
- Designed end-to-end ML pipeline on Apache Airflow for UK company financial risk scoring using government APIs (Companies House, Contracts Finder)
- Built real-time air pollution monitoring system for Kazakhstan cities with automated data collection and trend analysis
- Developing ML models (MLP + Attention mechanisms) for parallel program performance prediction without execution - thesis project at MSU

💻 TECHNICAL EXPERTISE
- ML Stack: PyTorch, Scikit-learn, CatBoost, TensorFlow, Apache Airflow
- Backend: нужен доступ к резюме , TypeScript, Python, Django, microservices architecture
- Infrastructure: Docker, Redis, MongoDB, PostgreSQL, Linux
- AI Integration: OpenAI API, LLM integration, prompt engineering

🚀 ENTREPRENEURIAL EXPERIENCE
Founded and led EdTech startup as CTO, managing 3-developer team and full product lifecycle from MVP to monetization. Successfully integrated payment systems (TBank, CloudPayments) and built scalable architecture.

🎓 EDUCATION & CERTIFICATIONS
- MSU Faculty of Computational Mathematics and Cybernetics нужен доступ к резюме
- Skoltech Data Science program нужен доступ к резюме
- Advanced ML course by нужен доступ к резюме Vorontsov (MSU)
- Functional Programming (Haskell, Scheme)