Ankush Bhatia is a Senior Machine Learning Engineer with nine years of experience building production ML systems across mobile, embedded, and cloud platforms, currently working on Voice AI for Meta wearables. He has a strong background in deploying neural models on-device (AndroidNN/HAL) from his Qualcomm work and has driven applied ML in document understanding, OCR, and information retrieval at startups. His tenure at Microsoft, Roku, and Meta reflects a pattern of shipping scalable, low-latency ML pipelines for real-world products, and his portfolio showcases practical projects and demos. A math enthusiast by training, he blends theoretical rigor from his MS at Georgia Tech with hands-on engineering to optimize models for constrained hardware. He also has early-stage startup experience designing full ML backends for voice and chatbots, including voice authentication and NER systems. Based in Bengaluru, he combines embedded ML optimization expertise with mobile product sensibilities to move models from research into daily user-facing features.
9 years of coding experience
8 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
Bachelor of Technology (B.Tech.) Computer Science, Bachelor of Technology (B.Tech.) Computer Science at Charotar University of Science and Technology
This is a networking library which can be used to make http requests to the server. This library uses Apple's URLSession framework.
Contributions:1 release, 10 PRs, 22 pushes in 6 months
http-requestsnetworkingswiftiosnetworking-library
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Ankush Bhatia - Senior Machine Learning Engineer at Meta