Principal Staff Software Engineer, Machine Learning at LinkedIn
San Francisco, California, United States
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Summary
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Senior
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Top School
Tejas Dharamsi is a Principal Staff Software Engineer specializing in machine learning with 12 years of experience building large-scale ML systems and distributed data platforms in the San Francisco Bay Area. He has progressed through technical leadership roles at Twitter and LinkedIn, blending deep learning research with production-grade engineering for recommendation, serving, and data warehouse workloads. A Columbia Data Science graduate, Tejas brings expertise across ML model development, distributed systems, and scalable data infrastructure, routinely shipping systems that bridge research and operational constraints. He has a track record of leading cross-functional teams as a tech lead and elevating ML engineering practices in fast-moving product environments. Notably, his background includes research internships at IBM and Carnegie Mellon, reflecting an ability to translate applied research into impactful production solutions. Tejas pairs strong technical depth with pragmatic delivery, making him effective at architecting large-scale ML services that meet real-world reliability and performance needs.
11 years of coding experience
8 years of employment as a software developer
High School Science, High School Science at Rosary High School
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at People's Education Society Institute of Technology
Master’s Degree Data Science, Master’s Degree Data Science at Columbia University
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Tejas Dharamsi - Principal Staff Software Engineer, Machine Learning at LinkedIn