Summary
Seyed Tabatabaee is a Senior Research Engineer at Huawei Canada with a PhD in Computer Science from UBC and eight years of experience bridging theory and systems engineering. His work spans algorithms, optimization, distributed systems, blockchains, and machine learning, with a focus on distributed scheduling and data engines. He has a strong academic pedigree—multiple research internships across Europe and Asia and extensive TA experience teaching advanced algorithms—coupled with applied research on transaction relay, privacy-focused blockchains, and BFT-based sidechains. Notably, he has repeatedly translated theoretical insights into practical tools and simulators for blockchain networks and contributed to bioinformatics and clustering projects during international internships. Seyed combines rigorous formal training (top grades across degrees) with hands-on system-building in both industry and research labs.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, 95.00/100.00, Doctor of Philosophy - PhD, Computer Science, 95.00/100.00 at The University of British Columbia
Bachelor of Science - BS, Computer Engineering, 17.16/20.00, Bachelor of Science - BS, Computer Engineering, 17.16/20.00 at Sharif University of Technology
English, Persian