Siddharth Murching
Software Engineer at Databricks
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSiddharth Murching is a software engineer in San Francisco with six years of experience building production-ready systems at Databricks, where he progressed from a machine learning intern to a full-time engineer. He combines strong ML lifecycle and MLOps experience—evidenced by contributions to the popular open-source MLflow project and hands-on work with Jenkins—with a solid CS foundation from Caltech. His background includes internships at Apple and NASA JPL, where he developed data analysis and visualization tools that informed research decisions. Siddharth is comfortable bridging research and engineering, shipping reliable CI/CD-driven updates for critical tooling. Colleagues describe him as methodical about versioning and changelogs, a detail that helps keep complex ML deployments stable. He brings a blend of academic rigor and pragmatic engineering to machine learning infrastructure challenges.
6 years of coding experience
1 year of employment as a software developer
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at California Institute of Technology
Stackoverflow
595reputation
15kreached
56answers
0questions
Github Skills (13)
mlflow10
cicd10
python8
devops7
netcore6
azure-blob-storage6
azure6
video-streaming6
video-encoding6
asp-net-core6
azure-media-services6
model-management5
machine-learning5
Programming languages (3)
Github contributions (5)
mlflow/mlflow
Mar 2020 - Jan 2023
Open source platform for the machine learning lifecycle
Role in this project:
MLOps Engineer
MLOps EngineerContributions:2 reviews, 145 commits, 449 PRs in 2 years 10 months
Contributions summary:Siddharth primarily focused on maintaining and updating the MLflow version used in the repository. They made consistent changes to the version.py file to update the version and also made changes to the changelog to track the version changes. They also worked with Jenkins, indicating a role in the continuous integration and deployment process.
pythonlifecyclemlmachine-learningincremental-learning
mlflow-automation/mlflow
Feb 2020 - Apr 2025
Open source platform for the machine learning lifecycle
Contributions:4907 pushes, 1994 branches, 1730 tags in 5 years 2 months
pythonlifecyclemlmachine-learningmlops-workflow
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.