Anil M.

Anil M. is an experienced engineering leader currently working at Spotify as an Engineering Manager II, focusing on ML Platform and Recommender Systems.13 With over 10 years of experience in the field, Anil specializes in designing and scaling distributed systems.

Professional Background

Anil holds a Master of Science degree from the Georgia Institute of Technology.1 His expertise lies in data engineering, with a particular focus on machine learning infrastructure for recommendations at Spotify.4 Anil has been involved in various stages of the software development life cycle, including certification aspects.2

Current Role

At Spotify, Anil works as an Engineering Manager, where he:

• Builds machine learning infrastructure for recommendations4
• Manages teams working on ML platforms and recommender systems13
• Applies his expertise in designing and scaling distributed systems

Skills and Expertise

Anil's professional skills include:

• Data engineering
• Machine learning infrastructure
• Distributed systems design and scaling
• Software development lifecycle management
• Algorithms and data structures5

Online Presence

Anil maintains an active online presence:

• His LinkedIn profile can be found under the username "anilmuppalla"1
• He has a personal website at anilmuppalla.com3
• Anil is also active on Mastodon, where he shares insights about his work and interests4

Anil describes himself as a passionate engineering leader who excels at designing and implementing complex systems.1 He is based in the New York area and continues to contribute to the field of machine learning and data engineering at Spotify.4