I'm an ML/AI Engineer & Fullstack Developer with hands-on experience in building production-grade AI systems, analytics platforms and Aftersales solutions.
I combine data science, AI, and backend engineering to transform complex business data into scalable applications, automated pipelines and measurable business outcomes.
My key areas:
- 🤖 Development, validation, and fine-tuning of ML models (classical ML, LLMs, GANs, CNNs) for real-world use cases
- 🧠 Design and implementation of RAG systems, AI agents, and MCP-based architectures (LangChain, LangGraph, FastMCP)
- 🛠 High-load backend engineering (FastAPI / DRF) with focus on performance, reliability, and scalability
- 🔌 API design and integration of AI platforms into production environments
- 📈 Delivery of measurable business value: forecasting, optimization, and decision-support systems in Aftersales
Telegram: https://t.me/alexeyfill
Instagram: https://www.instagram.com/kdm_development
Facebook: https://www.facebook.com/filichkin.alexey
LinkedIn: https://www.linkedin.com/in/alexey-filichkin-085569aa
- Moscow Polytechnic University
- Yandex Practicum
Languages:
Python, JavaScript, Go, SQL, Cypher
ML / AI:
PyTorch, scikit-learn, CatBoost, LightGBM, XGBoost, ARIMA, Statsmodels
LangChain, LangGraph, FastMCP, OpenAI API, Claude API, Gemini
Data / Analytics:
Pandas, NumPy, SciPy, Plotly, Matplotlib, Dash
Feature engineering, time series analysis, hypothesis testing, model evaluation, KPI systems
Backend frameworks:
FastAPI, DRF, Flask, Gin
Databases:
PostgreSQL, MySQL, Redis, Neo4j
Vector DBs: Chroma, PGVector, Milvus, Qdrant, FAISS
Messaging & async:
RabbitMQ, Celery, Flower
DevOps / Tools:
Docker, Nginx, Git, CI/CD pipelines, GitHub Actions
Frontend:
React, Tailwind, HTML/CSS
Operating systems:
macOS, Windows
Tools & environments:
Jupyter, VS Code, Cursor, Claude code, Codex, CVAT, Figma