Nick Ouellet
Lead Machine Learning Engineer at Capital One
Greater Hartford United States
Summary
👤
Senior🎓
Top SchoolNick Ouellet is a Lead Machine Learning Engineer with 8+ years building production ML and data systems, currently leading generative AI and deep learning efforts at Capital One after a multi-year tenure at Travelers. He combines strong applied research in multimodal vision-language models and prompt engineering with hands-on engineering—deploying real-time model APIs, ElasticSearch-backed prediction platforms, and scalable training pipelines for millions of images. An active contributor to Apache Iceberg’s Python implementation, he has extended its type and expression systems, highlighting a backend systems sensibility alongside model work. Nick holds an applied mathematics master’s and a mathematics/computer science undergraduate background, and is known for turning complex, long-sequence and multimodal research into customer-facing retrieval and underwriting solutions.
8 years of coding experience
7 years of employment as a software developer
Master’s Degree, Applied Mathematics, Master’s Degree, Applied Mathematics at University of ConnecticutBachelor’s Degree, Mathematics (Honors), Computer Science, Economics, Magna Cum Laude, Bachelor’s Degree, Mathematics (Honors), Computer Science, Economics, Magna Cum Laude at Brandeis University
English
Github Skills (7)
ice10
apache10
python10
apache-iceberg10
data-structure5
data-structures5
algorithms4
Programming languages (9)
Github contributions (5)
apache/iceberg
Jan 2022 - Jul 2022
Apache Iceberg
Role in this project:
Back-end Developer
Back-end DeveloperContributions:79 reviews, 5 commits, 14 PRs in 6 months
Contributions summary:Nick primarily contributed to the Python implementation of Apache Iceberg. Their work focused on extending and refining the type system, including the creation of individual classes for primitive types. They also added new expression classes like "In" and "NotIn," demonstrating a focus on improving the query expression capabilities within the library. These additions suggest a focus on enhancing the core functionality of the Iceberg project's Python interface.
apache-icebergapachebig-datadatastreamjava
KnowledgeForge/headjack
Apr 2023 - Jun 2023
Contributions:12 reviews, 58 PRs, 166 pushes in 1 month
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