Kartikeya Sharma
Machine Learning Operations Engineer
Tallinn, Harju County, Estonia
Summary
👤
Senior🎓
Top SchoolKartikeya Sharma is a Machine Learning Operations Engineer with 10 years of experience building scalable ML pipelines and production systems, currently enabling efficient workflows at Bolt. He has a strong track record at Mad Street Den designing reusable ML libraries, real-time recommendation systems with PySpark/MLflow/Redis, and cutting compute costs through orchestration and Databricks optimizations. Comfortable across backend development, test automation and streaming architectures, he has contributed to the ListenBrainz open-source server—adding Last.fm compatibility and integration tests that improved API reliability. Kartikeya pairs practical production expertise with research-rooted skills from projects like histopathology image classification, and he routinely automates model tracking, deployment and feature engineering. Based in Tallinn, he combines fast learning with a preference for pragmatic, cost-conscious solutions that make ML systems both scalable and maintainable.
10 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Science, 8.08/10, Bachelor's degree, Computer Science, 8.08/10 at National Institute of Technology Hamirpur
Github Skills (16)
api10
python10
apidoc10
flask-ask9
flask9
databases8
xml8
database8
redis7
typescript4
typescripts4
react4
typescript-types4
web-content3
music3
Programming languages (4)
Github contributions (5)
metabrainz/listenbrainz-server
Oct 2017 - Oct 2018
Server for the ListenBrainz project, including the front-end (javascript/react) code that it serves and all of the data processing components that LB uses.
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:23 commits, 13 PRs, 6 comments in 1 year
Contributions summary:Kartikeya primarily focused on back-end development tasks, contributing features and fixing bugs for the ListenBrainz server. Key contributions include implementing Last.fm API compatibility features, such as recording listens and handling sessions. They also wrote integration tests to ensure the correct functionality of the API endpoints. Furthermore, the user refactored code and improved test coverage with additions of test cases for core server functionalities.
reactpythondata-processingjavascriptbig-data
kartikeyaSh/kartikeyaSh.github.io
Mar 2017 - Apr 2022
Contributions:24 pushes, 1 branch in 5 years 1 month
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