Junior ML-инженер

I am an AI/ML Engineer who loves programming, building things that work, and solving real-world problems with intelligent systems. My focus is on creating practical, production-ready AI — from Retrieval-Augmented Generation (RAG) pipelines and LangChain/LangGraph workflows to LLM-powered assistants that make information smarter and easier to use. I enjoy turning unstructured data—text, video, logs—into searchable, reliable knowledge using vector databases and generative AI. My goal is to make AI systems not just powerful, but explainable, efficient, and useful in real-world environments. With a foundation in AI research at MIPT and hands-on engineering experience, I bring both depth and execution. I like experimenting, learning fast, and shipping working solutions that have a measurable impact. Core Skills: Python · LangChain · LangGraph · RAG · LLMs · Generative AI · Vector Databases · FastAPI · Docker · PyTorch · TensorFlow Always open to roles and collaborations where I can build intelligent systems, learn continuously, and create real value through AI — contributing to teams pushing the boundaries of Generative AI.