Summary
Maxim Kuznetsov is a Machine Learning Engineer with 9 years of experience and over 4 years focused on NLP and neural networks, delivering production-grade LLM, RAG, and ASR-based systems. He has built high-load anti-fraud and customer support agent solutions, led news recommendation and factography projects, and shipped audio/music generation and noise-reduction models, demonstrating breadth across text and audio domains. His work spans the full ML lifecycle—data engineering, model fine-tuning, deployment and MLOps—using PyTorch, HuggingFace, LangChain, vllm, Kubernetes and optimized inference stacks like TensorRT and Triton. A Kaggle silver medalist with a patented AI service for Spanish fake-news detection and a no-code adaptive fine-tuning platform, he combines research rigor from academic roles with practical production experience. Based in Izhevsk, he actively participates in conferences and hackathons, and has a knack for turning experimental models into robust, scalable services.
9 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Software Engineering, 4.82, Bachelor's degree, Computer Software Engineering, 4.82 at St. Petersburg State University of Telecommunications named after prof. M.A. Bonch-Bruevich
Master's degree, Artificial Intelligence, 5, Master's degree, Artificial Intelligence, 5 at Университет ИТМО
Russian, English