Summary
Mejbah Alam is a Senior Software Engineer in the San Francisco Bay Area with 12 years of experience at the intersection of machine learning and systems engineering. His work spans ML-driven anomaly detection, automated program synthesis, programming productivity tools, and malware analysis, with recent roles at Google and prior research at Intel Labs and UTSA. He holds a PhD in Computer Science and has a deep background building practical tools for multithreaded bug detection, synchronization diagnosis, and performance modeling for HPC and embedded camera systems. Known for turning research prototypes into production-ready diagnostics, he combines low-level systems expertise with ML to accelerate developer workflows and reliability. An often-overlooked strength is his breadth across academia, industry research, and embedded verification, giving him a pragmatic lens on scaling ML solutions in real-world systems.
12 years of coding experience
12 years of employment as a software developer
University of Texas at San Antonio
Bachelor of Science, Computer Scince and Engineering, Bachelor of Science, Computer Scince and Engineering at Bangladesh University of Engineering and Technology
English, Bangla