Joseph Kestel
Staff Software Engineer at Courtyard
Abington Township, Pennsylvania, United States
Summary
🤩
Rockstar🎓
Top SchoolJoseph Kestel is a Senior Software Engineer with nine years of professional experience and a decade-long engagement with engineering roles spanning startups and enterprise clients. Currently at Voxel51, he focuses on backend robustness and data handling for visual AI tooling, contributing refactors and optimizations to the popular FiftyOne dataset management project. Previously he architected scalable APIs and microservices for visual search at Slyce and built BI systems for the energy sector, demonstrating strength in data-driven backends and production-grade services. Comfortable across the stack, he brings a pragmatic blend of hands-on coding, database reliability improvements, and system-level exception handling that reduces operational risk. Based near Philadelphia, he pairs a Temple University computer science foundation with a track record of improving efficiency and resilience in data-intensive applications.
9 years of coding experience
15 years of employment as a software developer
Bachelor of Applied Science (B.A.Sc.) Computer Science, Bachelor of Applied Science (B.A.Sc.) Computer Science at Temple University
Github Skills (9)
mongodb10
python10
mongodb-database10
data-engineering9
database-design9
database-administration8
ai8
unstructured-data7
vector-search6
Programming languages (4)
Github contributions (5)
voxel51/fiftyone
Apr 2022 - Nov 2022
Refine high-quality datasets and visual AI models
Role in this project:
Back-end Developer
Back-end DeveloperContributions:96 reviews, 28 commits, 38 PRs in 6 months
Contributions summary:Joseph primarily focused on refactoring and optimizing the backend code related to dataset management and database interactions within the FiftyOne project. Their contributions included modifications to the database connection, non-persistent dataset cleanup, and connection tracking mechanisms. Furthermore, the user implemented code consolidation and exception handling in database operations, demonstrating a focus on improving the robustness and efficiency of data handling processes.
aimachine-learningartificial-intelligencedeep-learningcomputer-vision
j053y/hubflow-test
Mar 2019 - Jun 2022
Contributions:13 PRs, 7 pushes, 16 branches in 3 years 3 months
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