Software Engineering Team Lead at Research Solutions
Leander, Texas, United States
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Summary
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Rockstar
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Top School
Christopher Griffith is a software engineering leader with 13 years of experience designing and shipping distributed systems, ETL pipelines, and REST APIs, currently leading engineering at Research Solutions. He pairs deep Python expertise with practical experience across Go, Solidity, Node, and front-end frameworks to deliver scalable systems on AWS, Heroku, and container platforms. Christopher has driven production services at scale—owning multiple customer-facing services at Capital One, improving onboarding revenue, and coordinating cross-team migrations—while mentoring engineers and growing teams. A prolific open-source contributor, he created python-box and significantly advanced FastFlix (video encoding GUI), showing a knack for utility tools that solve real developer and user problems. He also blends ML/AI into products for intelligent search and image recognition, and frequently architects event-driven dataflows and cloud-native integrations.
13 years of coding experience
15 years of employment as a software developer
BS Information Sciences & Technology, BS Information Sciences & Technology at Penn State University
Python dictionaries with advanced dot notation access
Role in this project:
Back-end Developer
Contributions:62 releases, 14 reviews, 123 commits in 4 years
Contributions summary:Christopher primarily contributed to the evolution of the `box` library, a Python dictionary enhancement. Their work involved adding new features like dot notation support, helper functions (`box_from_file`), and merging capabilities. They refactored existing code, altered exception handling, and also removed deprecated elements. Several commits include the modification of core files.
FastFlix is a free GUI for H.264, HEVC and AV1 hardware and software encoding!
Role in this project:
Full-stack Developer
Contributions:126 releases, 7 reviews, 212 commits in 3 years 11 months
Contributions summary:Christopher implemented new features and enhancements to the FastFlix application, primarily focused on supporting various video encoders and formats. They added support for AVIF encoding using libsvtav1, expanded the range of supported pixel formats, and incorporated options for HDR10+ metadata extraction. Furthermore, they addressed UI and functionality issues, including better queue handling, improved subtitle handling, and enhanced profile management.
hevcfastflixhdrsvt-av1apng
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Christopher Griffith - Software Engineering Team Lead at Research Solutions