Summary
Sajo George is a Staff Engineer at Qualcomm with 12+ years building high-performance and secure mobile systems, currently focused on accelerating neural networks across Snapdragon’s heterogeneous compute engines. He combines deep systems expertise—from JIT VM performance tuning and ELF/linker-level defenses to network security for WiFi/DNS/cellular—with hands-on ML work optimizing SNPE and Android Neural Network runtimes. His background spans mobile platforms since 2006 (BREW to Android) and research in binary diversification at UC Irvine, giving him a rare blend of low-level systems, compiler/linker insight, and applied deep learning experience. Comfortable shipping production firmware and runtime optimizations in C/C++/Java/Python, he’s as likely to profile a JIT hotspot as design a mitigation for network threats. Based in Canada, he balances technical curiosity with practical delivery and enjoys exploring ideas off-duty while strolling parks or reading.
12 years of coding experience
11 years of employment as a software developer
Anna University, Chennai
Master's Degree, Computer Engineering, Master's Degree, Computer Engineering at University of California, Irvine