Qi Jiang is a Senior Software Engineer with over a decade building scalable distributed systems and SaaS, currently applying AI to healthcare at AKASA from Redmond. He has a track record at Microsoft and Unity delivering cross-platform mobile apps, cloud services for computer vision and simulation, and XR automation, often improving deployment speed and reliability. Skilled in system design, testing automation, and release engineering, he led efforts that turned stale apps into products with 250k+ MAU and cut Exchange deployment cycles dramatically. Qi pairs strong academic foundations from Tsinghua and Columbia with hands-on production experience, including a patented approach to controlled mobile feature deployment. He focuses on performance, customer success, and productizing AI so its benefits are broadly accessible. A detail that sets him apart is combining SDET-rooted automation expertise with AI product engineering to drive robust, scalable releases.
9 years of coding experience
10 years of employment as a software developer
Master of Science (M.S.), Computer Science, 3.967/4.0, Master of Science (M.S.), Computer Science, 3.967/4.0 at Columbia University - Fu Foundation School of Engineering and Applied Science
Bachelor of Engineering (B.E.), Computer Software Engineering, 89.7/100, Bachelor of Engineering (B.E.), Computer Software Engineering, 89.7/100 at Tsinghua University
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