Pranav Kulkarni
Software Engineer at Esri
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolPranav Kulkarni is a software engineer with 10 years of experience building data-driven backend systems and production ML services, currently focused on implementing econometric and machine learning models to improve Prime membership. He combines big-data engineering chops with practical ML deployment experience—having prototyped Spark-based algorithms, exposed models as REST services with Docker, and improved search and discovery in microservice backends. His background spans financial systems at JPMorgan Chase, drone-safety platforms, and geospatial R&D at Esri, reflecting comfort across high-throughput, regulated, and research environments. A Seattle-based data science master's graduate (NCSU, 3.93 GPA), he pairs strong academic grounding with a track record of shipping pragmatic solutions that bridge research and production.
10 years of coding experience
3 years of employment as a software developer
Master’s Degree, Computer Science (Data Science Track), GPA 3.93, Master’s Degree, Computer Science (Data Science Track), GPA 3.93 at North Carolina State UniversityBachelor of Engineering (BEng), Information Technology, Bachelor of Engineering (BEng), Information Technology at University of Mumbai
Github Skills (36)
bower10
arcgis10
data-management10
esri10
rest-api10
arcgis-js-api10
modular9
servo9
javascript9
typescript9
browser9
docker9
rspec9
rest9
api9
Programming languages (4)
Github contributions (5)
Esri/kubeutils
Dec 2017 - Nov 2018
Utilities for working with the Kubernetes and Kops CLIs in JavaScript
Contributions:4 releases, 44 commits, 10 PRs in 11 months
clisjavascriptkubernetesnodejskops
pranavkulkarni/iTrust-v23
Feb 2017 - Apr 2017
Contributions:39 pushes, 10 branches in 2 months
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