Sunish Sheth
Senior Software Engineer at Databricks
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSunish Sheth is a Senior Software Engineer with 11 years of experience based in San Jose, specializing in end-to-end ML and web platform engineering. At Databricks he leads MLflow Recipes and UI infrastructure efforts—driving MicroFrontend migrations, performance tracking, and a high-speed data profiling tool that outperforms common profilers. Previously at LinkedIn he led efforts to decompose monoliths into modular NPM packages, enable server-side rendering, and build recruiter/Hiring Manager integrations, demonstrating strong product- and developer-experience focus. He contributes to the popular MLflow open-source project, adding i18n support and UI enhancements that span frontend and backend integration. Sunish combines a strong academic background in data science with practical experience shipping scalable ML and web tooling that smooths the handoff between data scientists and engineers.
11 years of coding experience
5 years of employment as a software developer
Masters in Computer Science, Data Science, 3.78, Masters in Computer Science, Data Science, 3.78 at The University of Texas at DallasBachelors in Engineering, Computer Engineering, Bachelors in Engineering, Computer Engineering at University of Mumbai
English, Gujarati, Hindi, Marathi
Github Skills (9)
javascript10
react10
front-end-development9
translation9
internationalization9
mlflow8
experiment8
ant8
antd8
Programming languages (3)
Github contributions (5)
mlflow/mlflow
Jun 2021 - Jan 2023
Open source platform for the machine learning lifecycle
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:583 reviews, 57 commits, 317 PRs in 1 year 7 months
Contributions summary:Sunish's contributions involve syncing with MLFlow, specifically implementing i18n support and adding corresponding UI elements. These changes primarily affect the ExperimentView.js component, indicating a focus on enhancing the user interface. The commits also include code modifications to integrate new features and functionality that suggests the user worked on both the frontend and backend aspect to support i18n.
pythonlifecyclemlmachine-learningincremental-learning
databricks/databricks-ai-bridge
Oct 2024 - Mar 2025
Contributions:36 reviews, 20 PRs, 107 pushes in 4 months
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