Ivan Smirnov
Machine Learning @BMW Group
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WORK HISTORY
Machine Learning @BMW Group
Munich, DE
Work on Perception and Planning ML systems for autonomous driving R&D at BMW Group. Built and integrated a pipeline to convert large-scale real-world driving datasets (LiDAR, camera, radar, IMU, GPS) into BMW’s internal data format, enabling research and testing. Improved sensor fusion reliability by addressing sensor calibration misalignments, and collaborated on integrating decision-making, trajectory prediction, and planning frameworks into NAVSIM for realistic multi-agent simulation and evaluation.
EDUCATION
Technische Universität Darmstadt
Master's degree, Artificial Intelligence
Belarusian State University
Bachelor's degree, Radiophysics and Computer Technologies
INSEAD
Business Administration, Management and Operations
Deggendorf Institute of Technology
Bachelor's degree, AI
Y Combinator
AI Startup School
ABOUT IVAN SMIRNOV
Machine Learning Engineer & AI Engineer with +- building production-ready AI solutions across robotics, edge AI, and LLM-based systems. I specialize in designing and deploying scalable AI agents, multimodal pipelines, and full-stack applications - from research to real-world impact.My tech stack spans: Python (6+ yrs) — PyTorch, TensorFlow, FastAPI, scikit-learn JavaScript (4+ yrs) — Node.js, React, TypeScript Cloud/MLOps — AWS, Docker, Weights & Biases, DVC, Hugging Face Robotics & Simulation — ROS, Isaac Sim, LiDAR, Jetson Nano, VLMs, VLAs LLMs & Agents — LangChain, LLamaIndex, OpenAI API, RLHF, GraphRAG, Semantic Search Full-stack — Django, GraphQL, Postgres, PDF.js : Increased segmentation performance (MCC +12%) for highway quality control via synthetic data & U-Net optimization🧠 Launched a smart PDF assistant with AI-driven flashcards, notes, and summaries for 110+ weekly users🤖 Built autonomous robotics systems using RL, Jetbot, VLMs, and real-time object detection on edge Selected for elite programs like IBM QGSS\'25, CERN Spring Campus and Y Combinator’s AI Startup School (incl. after-parties with Anthropic & Google)
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