Summary
Sidharth Baveja is a software engineer and recent MCS graduate at Texas A&M, currently at NVIDIA, who brings eight years of hands-on experience across systems, compilers, and ML-driven products. He graduated from the University of Waterloo in Electrical Engineering and completed six co-op roles including compiler optimization at IBM, 5G R&D at Dell, and an LLM-focused internship at Amazon. Comfortable across C, C++, Python, SQL, Angular and TypeScript, he has shipped low-level performance work and higher-level AI/robotics prototypes. Based in the San Francisco Bay Area, he’s actively seeking 2024 new-grad opportunities where he can bridge systems engineering with applied AI—often spotting optimization opportunities that others miss.
8 years of coding experience
Master of Computer Science, 4.0/4.0, Master of Computer Science, 4.0/4.0 at Texas A&M University
Bachelor of Applied Science - BASc, Electrical Engineering, 3.79/4.0 (87.10%), Bachelor of Applied Science - BASc, Electrical Engineering, 3.79/4.0 (87.10%) at University of Waterloo