Summary
Nazmus Saquib is a software engineer with 11 years of experience who blends rigorous academic research with production engineering at Google in Sunnyvale. He holds a PhD in Computer Science from UC Santa Barbara where he built privacy-preserving, blockchain-independent smart home systems, designed log-based CRDTs for resource-constrained IoT, and replicated versioned data structures for failure-prone environments. His background spans embedded systems and applied ML—from low-cost sign-language data gloves and PPG heart-rate sensing to characterizing cold-data models for Google Cloud Storage—so he moves comfortably between firmware, distributed systems, and cloud-scale services. A former lecturer and TA, he’s practiced mentoring and course design, and he has a track record of shipping full-stack features during internships using React and Rails. Notably, his work emphasizes practical, low-resource designs for privacy and provenance in IoT rather than purely theoretical solutions.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, 4.00, Doctor of Philosophy - PhD, Computer Science, 4.00 at UC Santa Barbara
Master's degree, Computer Science and Engineering, 4.00, Master's degree, Computer Science and Engineering, 4.00 at Bangladesh University of Engineering and Technology
Bengali, English