Summary
Sayem Imtiaz is a research scientist and software engineer with 11 years of experience, currently building next-generation ML inference infrastructure at Meta focused on efficient, large-scale model serving. He holds a PhD in Computer Science and has published multiple A*-venue papers at the intersection of software engineering and deep learning, including advances in detoxifying LLMs and modularizing RNNs. His background spans the full stack—from distributed C++ services and Java Spring web applications to production ML systems—bringing both research rigor and production-grade engineering. Prior roles include applied science work on geospatial soil mapping and engineering contributions to national biometric systems, reflecting a blend of domain-driven applied ML and systems design. Notably, his research has produced practical techniques that improve model robustness and maintainability, and he pairs competitive programming roots with hands-on infrastructure optimization. Based in Bellevue, WA, he combines academic insight with proven delivery at scale.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Iowa State University
Bachelor of Science (BSc), Computer Science and Engineering, Bachelor of Science (BSc), Computer Science and Engineering at Chittagong University of Engineering & Technology
Master's degree, Computer Science, Master's degree, Computer Science at Mississippi State University