Arnav Chakravarthy is a Machine Learning Engineer blending research rigor with production-scale systems, based in San Francisco with nine years of experience across startups and big tech. He is an MS Computer Science student at Arizona State University, focusing on weakly supervised learning, while serving as a Machine Learning Engineer at Meta since 2025. At QueryPal, he built the foundations of a GenAI-based customer success platform and a Retrieval Augmented Generation system for Enterprise Search, including a semantic cache that boosted cache hit rate by 4.5x and cut response latency by 5x. During his time at VMware, he worked on state-of-the-art ML/AI projects under the CTO, built Kubernetes operators with Go, and filed two patents within the first eight months. He brings a well-rounded background spanning cloud infrastructure, data pipelines, and multilingual data processing, with degrees from NMIMS and ASU, and hands-on experience shipping ML systems from prototype to production in the Bay Area.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Technology - BTech, Computer Engineering, 3.2/4, Bachelor of Technology - BTech, Computer Engineering, 3.2/4 at SVKM's Narsee Monjee Institute of Management Studies (NMIMS)
Master of Science - MS, Computer Science, 4.22/4, Master of Science - MS, Computer Science, 4.22/4 at Ira A. Fulton Schools of Engineering at Arizona State University
ISC, Science, 95%, ISC, Science, 95% at Lilavati Bai Podar Senior Secondary School
A responsive web app to allow remote orders for my college canteen
Contributions:23 pushes, 1 branch in 2 years 7 months
reactcssjavascriptwebappresponsive
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