Anum Afzal is a PhD candidate and applied scientist focused on domain adaptation and optimizing chain-of-thought for large language models, with eight years of experience bridging academic research and industry applications. She has led benchmarking, evaluation, and fine-tuning efforts at TUM and collaborated on enterprise AI projects with SAP, Holtzbrinck, Merck and Munich Re, translating research into production-minded proofs of concept. Her roles span research associate and industry internships—most recently at Amazon and AIST—reflecting fluency in both NLP and computer vision techniques. Trained as a Computer and Information Systems engineer, she pairs theoretical rigor with hands-on model training (she actively develops NLP models on GitHub) and a track record of cross-disciplinary collaboration via SAP@TUM and Industry on Campus. Outside research, she’s an experimental cook and avid outdoor enthusiast, bringing curiosity and endurance to both technical challenges and team projects.
7 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Master of Science - MS at Technical University Munich
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Technical University of Munich
Bachelor of Engineering - BE, Bachelor of Engineering - BE at NED University of Engineering and Technology
Contributions:5 commits, 2 pushes, 1 branch in 4 months
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