Summary
Xiangbo Li is a tech lead specializing in cloud video editing with over 11 years' experience building ingest, transcoding, and delivery systems for large-scale streaming platforms. He combines deep codec and protocol knowledge (H.264/HEVC/AV1, HLS/DASH/CMAF, RTMP/SRT/RTP) with hands-on proficiency in C++, Go, and Python to optimize live and VOD workflows. At Twitch he drove measurable infrastructure improvements—cutting transcode costs by up to 30%, slashing host drain time from 48 hours to 10 minutes, and accelerating feature A/B testing—while filing multiple patents. Prior roles at Brightcove and in academia produced patented work in cost-aware cloud transcoding and context-aware encoding ladders, reflecting a blend of research rigor and production impact. Based in San Jose, he has extensive experience across bare-metal and AWS environments and a track record of reducing latency and startup times in global video systems. Notably, his career marries systems-level engineering with data-driven optimization, making him adept at turning codec and infrastructure research into scalable product improvements.
11 years of coding experience
9 years of employment as a software developer
Bachelor's degree Electrical and Electronics Engineering, Bachelor's degree Electrical and Electronics Engineering at China Jiliang University
Doctor of Philosophy (PhD) Computer Engineering, Doctor of Philosophy (PhD) Computer Engineering at University of Louisiana at Lafayette