AI/ML Engineer working on multimodal LLMs, LLM data pipelines and multi-GPU training. 3+ years of automotive R&D at Valeo, including 2.5 years at valeo.ai fine-tuning vision-language models on a supercomputer. MSc in Artificial Intelligence, CTU Prague (2026).
📍 Prague · 🇺🇦 Ukrainian · open to AI/ML engineering roles
VQA for Autonomous Driving · MSc thesis, CTU × valeo.ai Fine-tuned InternVL2-2B with LoRA on 8× A100 for driving-scene question answering. A distribution-aligned 25k-question split beat 12× more data, LLM-generated pseudo-labels pushed the score further, and an oracle study showed visual grounding is the bottleneck. Demo · Models & dataset · Thesis
Mu-SHROOM: LLM hallucination detection · team lead, team of 6 Span-level hallucination detection (SemEval-2025 Task 3 setup): Wikipedia retrieval with Sentence-BERT + FAISS feeding a Gemma-3-27B LLM-as-a-judge.
Freshlabels brand-equity case · EY-Parthenon Challenge 2026, top 5 of 50 Python scrapers, fuzzy product matching and Streamlit dashboards for a consulting case, built with AI coding agents.
Hands-Free: road-scene perception · University of Vermont, 1st place UVM CS Fair 2022 Traffic-sign CNN on top of Faster R-CNN detections.
Python · PyTorch · Hugging Face Transformers & PEFT · LoRA / QLoRA · DDP / FSDP · SLURM / HPC · vLLM · FAISS · YOLO · SAM · OpenCV · Git · Linux · Claude Code
