Jason Lam
Senior Director, Software Development at PANGIAM, a BigBear.ai Company
Washington DC-Baltimore Area United States
Summary
👤
Senior🎓
Top SchoolJason Lam is a Director of Software Engineering with 11 years of experience building AI-enabled computer vision and large-scale enterprise systems for government and defense customers. He currently leads R&D labs at PANGIAM/BigBear.ai, progressing from hands-on architect to director while shipping production ML/vision capabilities. Jason has deep geospatial and search expertise—designing OGC-compliant services, tuning Solr Cloud at 200M+ records, and contributing spatial features to the open-source DDF project. He’s delivered cloud-native, containerized pipelines for AWS govCloud/C2S and led cross-functional agile teams through CI/CD and operational deployments. Comfortable switching between low-level performance work (CUDA/OpenCL GPU research) and systems architecture, he pairs technical rigor with program-level stakeholder engagement. Based in the DC–Baltimore area, he blends government-grade engineering discipline with a track record of turning complex requirements into operational products.
11 years of coding experience
14 years of employment as a software developer
M.S., Computer Engineering, M.S., Computer Engineering at Virginia TechMS, System Engineering, MS, System Engineering at The George Washington University
Chinese, Vietnamese, Chinese
Github Skills (13)
javas10
elasticsearch10
elasticsearchquery10
opensearch10
geometry10
aws-elasticsearch10
java10
elasticsearch-api10
amazon-elasticsearch10
geocoding9
osgi8
saml5
css4
Programming languages (2)
Github contributions (5)
codice/ddf
May 2018 - Jun 2020
DDF Distributed Data Framework - an open source, modular integration framework.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 reviews, 35 commits, 40 PRs in 2 years
Contributions summary:Jason primarily contributed to enhancing the DDF (Distributed Data Framework) by incorporating geometry search criteria support within the OpenSearch source, involving the construction of WKT geometry parameters. Their work included thread safety improvements by shifting static variables and utilizing ThreadLocal formatting. Additionally, the user addressed geo-coding functionality, updating javadoc and removing a unit test related to country code derivations. The user also refactored the spatial criteria using the logical OR operator and added support for the multipolygon intersect filter.
codicecssosgisaml2framework
lamhuy/precious
Mar 2017 - Apr 2021
Contributions:86 pushes, 4 branches in 4 years 2 months
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