Summary
Deven Shah is a Senior AI Engineer with eight years of experience building and deploying LLMs, recommendation systems, and information-extraction pipelines, currently shaping LinkedIn’s Foundational AI efforts after driving Copilot and news recommendation work at Microsoft. He combines production-focused applied science with academic rigor—having published at top-tier conferences, served on multiple program committees, and earned patents for his research. His background spans end-to-end systems from weak supervision and continuous learning for information extraction to video-based action recognition and SSD-based OCR for sports analytics. Based in Mountain View and holding a master's from Stony Brook, he brings both industry-grade engineering and research instincts to bridge large-model capabilities with product experiences. Notably, he has repeatedly moved novel research into production, improving recommendation and summarization quality at scale.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Technology (B.Tech.) Information Technology, Bachelor of Technology (B.Tech.) Information Technology at COEP Technological University
Master's degree Computer Science, Master's degree Computer Science at Stony Brook University
English, Hindi, Marathi, Gujarati