Professional Overview
Applied AI engineer working across LLM ablations, RAG evaluation, and edge ML. Built a 14M-parameter decoder-only transformer ablation on RF text, a controlled RAG study with a golden eval set, and a voice-RAG assistant with FAISS and Groq. Currently Research Engineer at Huawei R&D Russia and M.Sc. student at Skoltech.
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.