Vedant Kulkarni is a Senior ML Engineer and Consultant with over eight years of experience and 4+ years focused on GenAI, ML and MLOps, building end-to-end solutions in computer vision and NLP. He combines hands-on Python and PySpark engineering with Databricks and FastAPI expertise to design scalable data pipelines, CI/CD-backed deployments, and production monitoring. At Tredence he architects MLOps workflows and real-time inference APIs, and earlier helped operationalize drift monitoring and MLflow for CV models at LatentView. An active open-source contributor, he co-maintains express-rate-limit and has improved UX and documentation across popular projects like Refined GitHub and fpm—showing a rare mix of production rigor and community-oriented engineering. Based in Pimpri-Chinchwad, he’s driven by practical, high-impact ML that moves models from prototype to reliable service.
8 years of coding experience
3 years of employment as a software developer
Post Graduate Program in AIML, Data Science, Post Graduate Program in AIML, Data Science at Great Learning
Bachelor of Engineering - BE, Information Technology, Bachelor of Engineering - BE, Information Technology at JSPMs Jayawantrao Sawant College of Engineering, Handewadi Road, Hadapsar, Pune 28.
Basic rate-limiting middleware for the Express web server
Role in this project:
Back-end Developer & Test Automation Engineer
Contributions:206 reviews, 141 commits, 66 PRs in 9 months
Contributions summary:Vedant primarily focused on improving the codebase's maintainability and testing. They made several commits to prettify the code, add TSDoc comments, and bump dependencies, indicating a focus on code quality and modernization. Additionally, they added tests for different scenarios, including those where `request.ip` is undefined and tests related to headers. This suggests a commitment to thorough testing and ensuring the robustness of the rate-limiting middleware.
:octocat: Browser extension that simplifies the GitHub interface and adds useful features
Role in this project:
Front-end Developer
Contributions:103 reviews, 14 commits, 18 PRs in 1 year 4 months
Contributions summary:Vedant primarily contributed to the browser extension by implementing and refining user interface features. Their work involved modifying existing components, adding new functionalities related to the display and interaction of GitHub elements. The user demonstrated a strong understanding of the project's architecture and worked on enhancing the user experience of the Refined GitHub extension. The user focused on refactoring and updating code related to file renames and other UI elements.
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Vedant Kulkarni - Consultant(Sr. ML Engineer) at Tredence Inc.