Summary
Keivan Bahmani is a machine learning leader with nine years of experience building production CV and biometrics systems and currently directs ML and AI integrity at Mitek Systems, leading a 45-person team. He blends deep academic expertise—holding a PhD focused on statistical pattern recognition and deep generative models for face and fingerprint biometrics—with practical delivery across identity and verification products. His career progressed through hands-on CVML engineering and leadership roles at GBG and Acuant, translating research prototypes into scalable pipelines. Known for bridging research and product, he emphasizes robustness, fraud-resilience, and operationalizing models in real-world identity workflows. Based in San Francisco, he combines a researcher’s rigor with director-level program execution, often surfacing subtle trade-offs between model accuracy and system security. Outside core responsibilities he remains active in biometrics and identity projects on GitHub, reflecting ongoing technical curiosity.
9 years of coding experience
10 years of employment as a software developer
Bachelor of Science (B.S.) Electrical and Electronics Engineering, Bachelor of Science (B.S.) Electrical and Electronics Engineering at Islamic Azad University
Master of Science (MSc) Electrical Electronics and Communications Engineering, Master of Science (MSc) Electrical Electronics and Communications Engineering at Eastern Mediterranean University
Doctor of Philosophy (PhD) Electrical and Electronics Engineering, Doctor of Philosophy (PhD) Electrical and Electronics Engineering at Clarkson University
English, Persian