Anil Muppalla is an engineering leader with 14 years of experience building and scaling ML infrastructure and personalization systems, currently leading Spotify’s AI Agent and LLM Evaluation Infrastructure teams. He specializes in defining and measuring “good” for AI at scale—running both offline benchmarks and online experiments that validate models across products serving 600M+ users. A player‑coach who stays hands-on, he founded Spotify’s centralized Feature Store and drove real‑time personalization improvements that cut latency tenfold and powered hundreds of internal use cases. Beyond product impact, he invests in engineering growth—creating core training curricula, mentoring founders and diverse technologists, and speaking on large‑scale recommender systems. He blends startup grit from his CTO/co‑founder days with enterprise rigor, uniquely focused on turning AI evaluation into a force multiplier for teams and products.
14 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at Ramaiah Institute Of Technology
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at Georgia Institute of Technology
Contributions:5 commits, 1 push in 3 years 1 month
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Anil Muppalla - Engineering Manager, ML And Data Infrastructure