Bio
My technical stack: • Python: NumPy, Pandas, Scikit-learn, CatBoost, XGBoost, LightGBM, PyTorch, HuggingFace, transformers, LangChain. • Data Visualization: Matplotlib, seaborn, Plotly, Dash. • NLP: NLTK, SpaCy, Gensim, Fine-Tuning LLM, LoRA, Prompt Engineering, OpenAI API, llama.cpp. • MLOps: Linux/Unix, Bash, Docker, Git, MLflow, FastAPI. • Databases: SQL (PostgreSQL, ClickHouse), NoSQL (MongoDB), Redis, Neo4j. • Programming: Asynchronous programming, OOP, design patterns, multiprocessing. Outside of work, I continue exploring technologies: • I run a blog about artificial intelligence and its impact on our lives: link • I participate in discussions on Habr and occasionally publish articles there myself. • I often attend conferences and meetups (for example, I gave a talk at Data Fest 2024: link • I love testing new gadgets and software, especially if they involve AI. • My sport is Data Science competitions. I enjoy solving Kaggle challenges and participating in hackathons. Recently, I took part in the "LMSYS — Chatbot Arena Human Preference Predictions" competition on Kaggle. Currently, I am working on the "VK RecSys Challenge." And also: • I have been into film photography for a couple of years and have built a small collection of Soviet cameras. • I am a Dungeon Master. I enjoy tabletop role-playing games and host adventures for friends and colleagues on weekends. My favorite class in D&D is Paladin. • I love automating and measuring everything. I am passionate about personal productivity, maintaining a knowledge base in Obsidian. • I ride a mountain bike through forest trails.
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