Caci Jiang is a skilled software engineer with a strong academic background, holding a Bachelor of Engineering from The Hong Kong Polytechnic University and a Master of Science in Engineering from Stanford University. With professional experience that includes a current role at Meta focusing on machine learning infrastructure for video and audio similarity understanding, Caci has previously developed payment infrastructures at JPMorgan Chase & Co. after contributing as a software engineer intern at FairX. Additional roles include research assistant positions where Caci engaged in deep learning research and analyzed human mobility patterns using machine learning techniques. Teaching experiences as a course assistant at Stanford University highlight capabilities in instructional design and programming education. Proficiencies encompass a range of technologies including Java, React, SQL, and various cloud services.
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