Leo Thomas - Data Engineer

Leo Thomas

Data Engineer

Washington, District of Columbia, United States

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Summary

👤

Senior

🎓

Top School

Leo Thomas is a data engineer with 10 years of experience building serverless AWS backends, ML workflows, and ingestion pipelines for environmental, conservation, and distributed manufacturing projects. He blends a physics and computer science background from McGill with hands-on Python expertise in data analysis, visualization, numerical simulation, and vector search systems (FAISS, Milvus, PGVector). At Development Seed he shipped agentic RAG and HITL workflows, optimized pansharpening and inference pipelines on AWS/GCP, and led technical hiring and conference workshops. His early work spans neuroimaging open-source tools and accessible iOS contributions—demonstrating attention to both research-grade data quality and user-facing accessibility. Based in Washington, DC, he combines research rigor with pragmatic engineering, often surfacing niche improvements like accessibility-focused UI fixes and scalable geospatial reporting.

10 years of coding experience

2 years of employment as a software developer

Physics and Computer Science (Joint Major), Physics and Computer Science (Joint Major) at McGill University

English, French, Spanish

Github Skills (7)

accessibility10

swift10

uikit10

ios10

card9

configurations6

configuration-file6

Programming languages (4)

JavaJavaScriptObjective-CSwift

Github contributions (5)

alexaubry/BulletinBoard

Oct 2017 - Oct 2017

General-purpose contextual cards for iOS

Role in this project:

iOS Developer / Accessibility Specialist

Contributions:6 commits, 1 PR in 1 day

Contributions summary:Leo focused on enhancing the accessibility features of the `Bulletinboard` iOS library. Their contributions primarily involve adding accessibility labels to images, implementing `accessibilityPerformEscape` for dismissal, and ensuring proper focus management for accessibility tools. They also addressed accessibility concerns by setting `accessibilityViewIsModal` and adding `UIAccessibilityTraitHeader` to improve the user experience for those relying on assistive technologies. The user demonstrates a clear understanding of iOS accessibility APIs and best practices.

cocoapodsios-libraryconfigurationonboardingpurpose

lennet/Figma-Timer

Mar 2020 - Aug 2020

Contributions:1 release, 26 commits, 9 PRs in 5 months

timerfigma-plugin

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