Sahil Jayaram
Machine Learning Engineer at Meta
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolSahil Jayaram is a Machine Learning Engineer with 10 years of experience building production ML systems and research-driven models across consumer and bioinformatics domains. Currently at Meta working on recommendation systems, he previously shipped keyboard intelligence, writing tools, and watchOS SmartReplies at Apple after interning there and at Intuit. A member of Dr. Kathleen McKeown’s NLP Lab, his research focuses on stance detection and model explainability, complementing graduate coursework in semantic processing, speech recognition, multilingual technologies, and quantum computing. He has applied ML to genomics as a consultant at Ravel and improved pronunciation scoring and voice transformation tools earlier in his career, bridging research and production pipelines. Based in San Francisco with an MS in Computer Science from Columbia and a BS in Mathematics from UCLA, he blends strong theoretical grounding with hands-on deployment experience. Notably, his background spans both language justice and practical productionization, bringing a rare mix of applied NLP research and large-scale system delivery.
10 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Columbia UniversityUniversity of California, Los Angeles
English, Spanish
Github Skills (4)
french5
isabelle4
multilingual3
creative-commons3
Programming languages (2)
Github contributions (5)
SahilJ97/Word-Importance-Stance-Detection
Feb 2021 - May 2021
Contributions:432 pushes, 5 branches in 3 months
SahilJ97/MU-LLaMA
Nov 2024 - Feb 2025
MU-LLaMA: Music Understanding Large Language Model
Contributions:75 pushes in 2 months
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