Summary
Muhammed Tan is an Assistant Professor and Ph.D. electrical and computer engineer with eight years of experience applying data science, machine learning, and device physics to both research and production problems. He blends academic teaching and hands-on ML engineering—having taught neural networks and probability while building NLP pipelines, custom NER, and LLM-labeled datasets at scale in industry. His work spans deep learning for text (RoBERTa and LLMs), clustering and similarity search, and the physics of micro/nano devices, giving him a rare cross-disciplinary perspective. Comfortable supervising teams, he has guided interns and junior engineers through real-world ML deployments and large-scale text processing. Based in Kastamonu, Türkiye, he leverages a UC Davis Ph.D. background to connect rigorous experimentation with practical data products.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering, Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering at University of California, Davis
Master of Science (M.S.), Physics, Master of Science (M.S.), Physics at Fatih Üniversitesi
Graduate of High School, Natural Sciences, Graduate of High School, Natural Sciences at Meram Naciye Mumcuoglu Lisesi
English, German, Turkish