Summary
Amran Siddiqui is a software engineer based in the San Francisco Bay Area with a decade of experience bridging academic research and production engineering. He holds a PhD in Artificial Intelligence from Oregon State University and has applied his research expertise in machine learning and anomaly detection to detect security attacks in real systems. At Google since 2019, he focuses on making ML models more interpretable and resilient, with special interest in rare category detection and incorporating user feedback into model explanations. His background includes academic roles as a lecturer and research assistant, plus an industry research internship at Microsoft, reflecting strong teaching and collaborative research skills. Notably, he has translated niche academic advances into practical security-focused anomaly detection solutions deployed at scale. Amran combines deep technical rigor with a pragmatic engineering mindset for trustworthy ML in production.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science (BSc), Computer Science, Bachelor of Science (BSc), Computer Science at Khulna University of Engineering and Technology
Doctor of Philosophy (PhD), Artificial Intelligence, Doctor of Philosophy (PhD), Artificial Intelligence at Oregon State University