Yogita Mehta
Senior Staff Software Engineer at Databricks
California, United States
Summary
🤩
Rockstar🎓
Top SchoolYogita Mehta is a Senior Staff Software Engineer based in California with nearly two decades of experience building large-scale, reliable systems across Google and Databricks. She has led engineering efforts for Google Payments Risk—scaling real-time fraud detection, ML-driven feature engineering, and configurable rules engines—and earlier drove personalization and infrastructure reliability for Google News and real-time search improvements. At Databricks she continues to apply deep systems and ML infrastructure expertise to platform-scale problems, pairing technical leadership with hands-on design and delivery. A strong academic foundation (MS CS, 4.0 from UT Austin) and executive training from Stanford GSB underpin her ability to translate research-grade ideas into production systems. Colleagues would note she consistently blends rigorous metrics-driven decision making with pragmatic, config-driven architectures that accelerate team velocity.
4 years of coding experience
16 years of employment as a software developer
Executive Education; Stanford LEAD Professional Certificate, Executive Education; Stanford LEAD Professional Certificate at Stanford University Graduate School of BusinessMasters, Computer Science, 4.0/4.0, Masters, Computer Science, 4.0/4.0 at The University of Texas at AustinParle Tilak VidyalayaBachelors, Computer Engineering, First Class with Distinction, Bachelors, Computer Engineering, First Class with Distinction at University of Mumbai
Marathi, Hindi
Github Skills (16)
incremental-learning10
apache-spark10
machine-learning10
model-management10
mlflow10
dvc10
python10
ai10
lifecycle10
terraform9
terraform-provider9
ml9
gcp9
aws9
databricks9
Programming languages (2)
Github contributions (3)
mehtayogita/mlflow
Feb 2022 - Feb 2022
Open source platform for the machine learning lifecycle
Contributions:22 pushes, 7 branches in 7 days
pythonmachine-learninglifecyclemachine-learning-lifecycle
mlflow/mlflow
Feb 2022 - Feb 2022
Open source platform for the machine learning lifecycle
Contributions:6 reviews, 3 commits, 9 PRs in 7 days
pythonlifecyclemlmachine-learningincremental-learning
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.