Navdeep Gill
Senior Manager, Product Management at ServiceNow
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolNavdeep Gill is a Senior Manager in Product Management with 10+ years building responsible, production-grade AI across platform and applied products, currently leading Responsible AI vision and governance at ServiceNow. He blends hands-on ML engineering and data science experience from H2O.ai—where he contributed to major open-source projects like H2O-3 and Sparkling Water—with product leadership that turns fairness, transparency, and regulatory requirements into auditable roadmaps and launch criteria. Comfortable shipping code (Python, Java, R, TypeScript) and driving cross-functional programs, he has designed model cards, safety testing, and enablement materials used to operationalize AI risk controls at scale. He mentors and scales teams of PMs, engineers, and AI stewards while advising execs and engaging customers on compliance and trust. Notably, his background spans both GPU-optimized ML work and cognitive neuroscience research, giving him a rare mix of performance engineering and human-centered perspective on AI systems.
10 years of coding experience
9 years of employment as a software developer
Master of Science - MS, Statistics with a Concentration in Computational Statistics, Master of Science - MS, Statistics with a Concentration in Computational Statistics at California State University - East Bay
English, Punjabi
Stackoverflow
101reputation
2kreached
4answers
0questions
Github Skills (20)
spark10
r10
testing10
machine-learning10
h2o10
data-analysis10
integrate9
integrations9
python9
nlp8
word2vec8
scala7
big-data7
automl6
windows6
Programming languages (11)
Github contributions (5)
h2oai/h2o-3
Oct 2015 - Oct 2021
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Role in this project:
Data Scientist & ML Engineer
Data Scientist & ML EngineerContributions:6 reviews, 574 commits, 444 PRs in 6 years
Contributions summary:Navdeep focused on improving R demo code by transitioning from a deprecated method and implementing a solution using group_by. Additionally, the user made code modifications to the R vignette code examples. The user's contributions also included creating and testing file parsers for the h2o.importFile() function in the R API, and they added a python demo for performing word2vec techniques on job titles.
xgboostgampythonk-meansautoencoders
h2oai/sparkling-water
Oct 2016 - Jan 2017
Sparkling Water provides H2O functionality inside Spark cluster
Role in this project:Back-end & QA Engineer
Back-end & QA EngineerContributions:33 commits, 15 PRs, 48 pushes in 3 months
Contributions summary:Navdeep primarily contributed to the RSparkling library, which integrates H2O functionality with Spark. Their work involved implementing features like properly naming H2O frames within Spark, adding options for version checking, and creating testing frameworks. They also fixed typos and improved dependency handling. The user's changes demonstrate expertise in R, Sparkling Water, and testing methodologies for data science libraries.
develapiintegrationrsparklingh2o
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