Averell Gatton
Director Of GenAI at Protegrity
San Francisco Bay Area United States
Summary
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Rockstar🎓
Top SchoolAverell Gatton is a Director of GenAI and machine learning leader with 7 years of experience bridging AMO physics and production-grade AI systems. He designed the million-dollar MRCOFFEE endstation at SLAC and has handled terabyte-scale reaction microscope datasets, combining experimental hardware, laser operations, and large-scale data analysis. In industry roles at MindsDB, MariaDB, and Clostra he shipped back-end ML features—contributing to RAG, async embeddings, and sparse-vector support in a major open-source AI query engine. Averell pairs a PhD in Physics with hands-on engineering to turn complex physical experiments into scalable inference and optimization pipelines. Based in the Bay Area, he brings a rare mix of lab-floor experimental intuition and distributed ML engineering at product scale.
7 years of coding experience
8 years of employment as a software developer
Bachelor of Arts - BA Physics, Bachelor of Arts - BA Physics at The College of WoosterDoctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at Auburn University
Stackoverflow
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Github Skills (9)
ag10
databases10
vector-database10
postgresql10
python10
ai10
langchain10
database10
asyncio9
Programming languages (3)
Github contributions (5)
mindsdb/mindsdb
Oct 2023 - Mar 2025
AI's query engine - Platform for building AI that can learn and answer questions over large scale federated data.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:43 reviews, 33 PRs, 65 pushes in 1 year 4 months
Contributions summary:Averell primarily contributed to MindsDB's back-end functionalities, specifically focusing on enhancements related to Retrieval-Augmented Generation (RAG) and the integration of language models. Their work involved refining RAG tests and dependencies, adding support for sparse vectors within the database handler, and introducing async support for embeddings. Furthermore, they were involved in improvements to the knowledge base, contributing to the summarization preprocessor.
localaimachine-learning-databasesolacesinglestoreexplainable-ml
QuantumPlumber/DeepDream3D
Sep 2020 - Oct 2020
Framework for machine learning projects at Insight Data Science
Contributions:12 PRs, 31 pushes, 7 branches in 28 days
pythoninsight-data-sciencesciencedata-sciencemachine-learning-projects
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