Onur Altay Topaloğlu

I'm an M.Sc. Informatics student at TUM and a Computer Engineering graduate of Middle East Technical University (METU, CGPA 3.61/4.00), with two years of research across three labs (depth estimation, point tracking and optical flow, fairness evaluation of vision-language models on GPU clusters) and hands-on experience building LLM-powered products end to end.

My work spans applied research and shipped products: I design evaluation frameworks and retrieval systems, train and benchmark deep learning models, and turn research ideas into working pipelines — including LawPal, an AI-native workspace I'm building for lawyers. I care most about the parts of ML that decide whether a system can actually be trusted in production — robustness, fairness, and rigorous evaluation.

I'm a co-first author of LuMon at the CVPR 2026 AI4Space workshop, and I ran the fairness study of vision-language models in a Harvard–MIT × METU collaboration on trustworthy multimodal AI.