Derek Jones
Principal Engineer, LLM Applications Development
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolDerek Jones is a Principal Engineer specializing in LLM applications with 12+ years of software engineering experience and a knack for balancing big-picture strategy with the right technical details. He drives stalled projects forward by designing improved development processes, championing engineering excellence, and mentoring engineers to raise team output. Skilled at translating complex ideas into clear visual presentations and quantitative reports, he communicates effectively to both technical peers and stakeholders. His background spans senior roles at Redfin, Google, Amazon and recent work at UW Astronomy LINCC, combining product-facing systems and research-focused pipelines. An early contributor to machine-learning infrastructure—helping integrate AlphaGoZero-style Minigo with Cloud Bigtable—he brings practical MLOps experience that bridges research and production. Based in Seattle, he also brings a long-standing interest in the human and cultural aspects of software delivery, making collaboration a force-multiplier.
12 years of coding experience
38 years of employment as a software developer
The University of Arizona
English, Spanish
Stackoverflow
1,800reputation
114kreached
60answers
0questions
Github Skills (11)
tensorflow10
data-pipelines10
data-pipeline10
bigtable10
gcp10
python9
machine-learning8
debugging6
csv6
buffer-overflow6
undefined-behavior6
Programming languages (4)
Github contributions (5)
tensorflow/minigo
Sep 2018 - Apr 2019
An open-source implementation of the AlphaGoZero algorithm
Role in this project:
Back-end & MLOps Engineer
Back-end & MLOps EngineerContributions:39 commits, 51 PRs, 20 pushes in 7 months
Contributions summary:Derek primarily focused on integrating the project with Cloud Bigtable for storing and retrieving game data. Their contributions involved implementing data serialization, writing examples to Bigtable, and creating tools for converting and exporting data. They also worked on setting up the infrastructure to store game data, including defining a training pipeline and setting the game counter. These changes facilitated the use of the project's data for training machine learning models.
pythondeep-learningmachine-learningmonte-carlo-tree-searchgomoku
gitosaurus/minigo
Sep 2018 - Apr 2019
An open-source implementation of the AlphaGoZero algorithm
Contributions:79 pushes, 62 branches in 7 months
deep-learningpythonmachine-learning
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