Surekha Jadhwani
Software Engineer at Facebook
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolSurekha Jadhwani is a software engineer with 11 years of experience based in the San Francisco Bay Area, currently building products at Facebook. She blends backend systems work with practical ML tooling experience, having contributed R bindings and tests to the widely used H2O-3 open-source machine learning platform. Her background spans enterprise integration and MDM at TIBCO, academic teaching and mentoring at Northeastern, and multiple internships that grounded her in production-scale engineering. Skilled at API integration, testing, and cross-team collaboration, she has a track record of turning complex domain requirements into reliable software. Academically strong with an MS in Computer Science and a BE in Computer Engineering, she pairs rigorous technical foundations with hands-on delivery. Colleagues describe her as a dependable engineer who mentors peers and surfaces subtle API usability improvements that make downstream developer experience better.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering (BE), Computer Engineering, 3.85, Bachelor of Engineering (BE), Computer Engineering, 3.85 at Vivekanand Education Society's Institute Of TechnologyMaster of Science (MS), Computer Science, 3.83, Master of Science (MS), Computer Science, 3.83 at Northeastern University
English, Hindi, Sindhi
Stackoverflow
111reputation
9kreached
5answers
0questions
Github Skills (15)
machine-learning10
h2o10
r10
ensemble-learning9
apidoc9
api9
data-science8
python7
windows6
pentaho6
gwt6
logging6
automl6
kettle6
java6
Programming languages (1)
Github contributions (5)
h2oai/h2o-3
Sep 2016 - Jan 2017
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:
Back-end Developer
Back-end DeveloperContributions:35 commits, 10 PRs, 38 pushes in 3 months
Contributions summary:Surekha primarily contributed to the H2O-3 repository by adding and updating R bindings for various machine-learning functionalities, including Stacked Ensemble, and addressing missing examples within the R documentation. Their work involved modifying files related to the R package, specifically focusing on adapting the API names and descriptions for better clarity and usability. Additionally, the user added a new test to the R API for Stacked Ensemble, demonstrating their focus on API integration and testing.
xgboostgampythonk-meansautoencoders
surekhajadhwani/jadhwani-surekha-webdev
Sep 2016 - Dec 2016
Contributions:71 pushes, 1 branch, 10 tags in 3 months
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.