Summary
Ashish Shenoy is a Machine Learning Engineer with 14 years of experience building production-grade ASR, NLP, multimodal LLMs, and on-device AI, currently working on privacy-preserving ML at Meta. He brings deep applied research experience from AWS AI (Transcribe, Lex, Alexa ASR) and a strong engineering background dating to system-level roles at NetApp and internships at Broadcom/Renesas. Ashish blends model research (scene text recognition, multimodal LLMs) with practical deployment skills—focusing on federated learning and differential privacy to enable real-world, privacy-first intelligent systems. A UW–Madison alumnus with a flawless graduate GPA, he has a track record of shipping conversational AI and search features at scale while optimizing for device constraints and user privacy.
14 years of coding experience
7 years of employment as a software developer
Master's degree, Computer Science, 4.0/4.0, Master's degree, Computer Science, 4.0/4.0 at University of Wisconsin-Madison
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at RV College Of Engineering
Sanskrit, Hindi, Kannada, Konkani, English