Siddharth Narayanan is an experienced machine learning engineer and software developer with a diverse background in leading technology initiatives across prominent companies. At Saavn, Siddharth served as Technical Lead in Machine Learning, implementing a contextual bandit framework for user personalization and a collaborative filtering-based playlist recommendation module for over 100 million users. As Staff Software Engineer at Medium, Siddharth introduced the Triton Inference Server for model inferencing and contributed to open-source projects while enhancing follower recommendations. Currently at Meta, Siddharth focuses on real-time model parameter updates for recommendation systems across Facebook and Instagram. Prior experience includes software development roles at Aricent Technologies, Yahoo!, and a research programming position at Carnegie Mellon University, showcasing a strong foundation in software engineering and innovation in machine learning applications.
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