Aung Naing is a Principal Research SDE at Microsoft with seven years of experience focused on edge AI, imaging systems, and real-time embedded software. He brings deep C/C++ expertise across MFC and Qt, plus hands-on experience with CMOS image sensor testing, ISP tuning, OpenVINO and Intel Performance Primitives for high-performance computer vision. His background spans sensor characterization up through machine learning deployment at the edge, informed by prior roles leading Edge AI and Chrome Enterprise platform efforts at Intel. Aung combines academic rigor (BEng, First Class, and an MS in Embedded Systems) with practical lab-to-production work on sensor bench software, Simulink control systems, and Yocto-based targets. Known for bridging hardware and software teams, he often surfaces subtle system-level optimizations that improve sensor validation throughput and inference latency. Based in California, he also contributes to local AI education initiatives, reflecting a commitment to applied research and community impact.
7 years of coding experience
15 years of employment as a software developer
MS(Embedded System), Embedded Software, MS(Embedded System), Embedded Software at Gannon University
BEng(Electrical Engineering), First class honors, Electrical Engineering, BEng(Electrical Engineering), First class honors, Electrical Engineering at National University of Singapore
Pre-trained Deep Learning models and samples (high quality and extremely fast)
Contributions:10 pushes, 2 branches in 21 days
pytorchcaffe2deep-learningpre-trainedhigh-quality
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