Kedar Bellare
Senior ML AI Engineering Manager at Airbnb
Folsom, California, United States
Summary
🤩
Rockstar🎓
Top SchoolKedar Bellare is a Senior ML/AI Engineering Manager in Folsom, CA with 15 years of experience building production machine learning systems for search, personalization and trust & safety at companies including Airbnb, Facebook and Yahoo. He has progressed from hands-on research roles to senior leadership, shipping 0→1 and 1→N recommender and ranking products and mentoring teams through acquisitions and complex product transitions. His background spans large-scale NLP, knowledge graph and entity de-duplication work as well as applied ML for identity and reputation, reflecting a strong blend of research rigor and product-driven execution. An active engineer at heart, he has contributed to the Apache MXNet ecosystem by porting image and inference APIs across languages and adding practical examples like captcha recognition, showing an appetite for cross-language interoperability and real-world ML tooling.
14 years of coding experience
11 years of employment as a software developer
Indian Institute of Technology BombayComputer Science, Computer Science at University of Massachusetts Amherst
English, Hindi
Github Skills (9)
clojure10
mxnet10
api10
computer-engineering10
apidoc10
clojure-cli10
scala10
image-processing9
deep-learning9
Programming languages (3)
Github contributions (5)
apache/mxnet
Nov 2018 - Apr 2019
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Role in this project:
Back-end Developer & Software Engineer
Back-end Developer & Software EngineerContributions:7 commits, 11 PRs, 3 pushes in 5 months
Contributions summary:Kedar's commits primarily focused on porting Scala code for image and inference APIs to Clojure, demonstrating a strong interest in bridging different programming ecosystems. They implemented core functionality of the image and inference packages, which included image decoding, reading, resizing, and various inference-related features. Furthermore, the user added tests, examples, and updated documentation, suggesting a focus on ensuring functionality and usability of the ported libraries. The user also worked on an example for captcha recognition, providing another example of using the library.
pythonschedulerdataflowmutationdata-science
kedarbellare/incubator-mxnet
Nov 2018 - May 2019
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Contributions:59 pushes, 7 branches in 6 months
pythonschedulerfeature-storedataflowmutation
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