Shivam Dhar
Lead Security Engineer at JPMorganChase
McKinney, Texas, United States
Summary
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Rockstar🎓
Top SchoolShivam Dhar is a Lead Security Engineer based in McKinney, Texas with 11 years of software and security experience across e-commerce, healthcare, gaming, and finance. He blends hands-on backend engineering with security leadership at JPMorgan Chase, having progressed from Security Engineer III to leading security initiatives. Shivam has a strong systems and cloud background—highlighted by refactoring the opensearch-py client to remove Elasticsearch cruft, add IAM authentication, and improve startup performance by lazy-loading heavy libraries. His career includes impactful engineering roles at Amazon and Urban Ladder where he designed payment systems, integrations, and scalable microservices. He holds a Master’s in Computer Science from Arizona State University and brings a practical focus on secure, production-ready systems and developer-friendly tooling.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering (B.E.), Computer Science, Bachelor of Engineering (B.E.), Computer Science at PES UniversityMaster's degree, Computer Science, Master's degree, Computer Science at Arizona State University
English, Hindi, Urdu, Kashmiri, Kannada
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
opensearch10
aws10
python10
http-request10
unit-testing8
aiohttp7
pandas6
numpy6
Programming languages (8)
Github contributions (5)
opensearch-project/opensearch-py
Jan 2022 - Mar 2022
Python Client for OpenSearch
Role in this project:
Back-end Developer
Back-end DeveloperContributions:21 reviews, 8 commits, 18 PRs in 2 months
Contributions summary:Shivam primarily focused on refactoring the Python client for OpenSearch. Their contributions involved removing support for Elasticsearch-specific features and dependencies, streamlining the codebase. They introduced IAM authentication support, enhancing security and integration capabilities. Additionally, they optimized the client by delaying the import of heavy libraries like NumPy and Pandas to reduce startup time.
opensearchpython
Shivamdhar/LynxLab
Aug 2025 - May 2026
LynxLab is a cloud lab setup utility that streamlines the deployment of an AI-driven pipeline, illustrated through a sentiment analysis use case. Beyond AI experimentation, it enables security practitioners to simulate attacks and evaluate defense strategies for serverless components in the cloud.
Contributions:3 reviews, 1 PR, 7 pushes in 9 months
aisecuritysentiment-analysisserverlesscloud
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