Colton Sellers
SDE at Amazon Web Services (AWS)
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolColton Sellers is a software engineer with seven years of experience building scalable cloud and backend systems, currently an SDE at AWS in Seattle. He has a strong track record contributing to open-source projects like QuantConnect’s Lean algorithmic trading engine, where he implemented and tested REST API CRUD endpoints in C# to improve platform integrations. Previously at QuantConnect he delivered production-ready code across distributed Linux deployments, CI/CD pipelines, containerized services, and data processing, often driving features end-to-end with a TDD mindset. His background in computer engineering (UW Bothell) and hands-on roles—from autonomous-vehicle research to running a tech repair business—give him practical systems knowledge and a pragmatic problem-solving approach. Colton combines low-level hardware interfacing and scripting with cloud-scale service development, making him comfortable across the stack and operational concerns.
7 years of coding experience
7 years of employment as a software developer
Associate’s Degree, General Studies, Associate’s Degree, General Studies at Everett Community CollegeAssociate of Science - AS, Computer Engineering, Associate of Science - AS, Computer Engineering at Whatcom Community CollegeBachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at University of Washington Bothell
English, Japanese
Github Skills (11)
net10
asp-net10
rest-api10
dotnet10
api10
csharp10
apidoc10
dotnet-core10
object-oriented-programming9
json9
test-automation8
Programming languages (6)
Github contributions (5)
QuantConnect/Lean
Jun 2020 - Mar 2022
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:159 reviews, 379 commits, 177 PRs in 1 year 8 months
Contributions summary:Colton primarily contributed to the back-end development of the Lean Algorithmic Trading Engine, specifically focusing on the API component. Their contributions included adding new functionality for creating, reading, updating, and deleting nodes. Furthermore, they implemented and tested these new API endpoints using C# and incorporated new classes for the API responses. These changes suggest a focus on enhancing the engine's functionality and capabilities for interacting with the QuantConnect API.
algorithmic-trading-enginepythonpinescriptbacktesting-trading-strategiesc-sharp
C-SELLERS/Lean
Jun 2020 - Apr 2022
Lean Algorithmic Trading Engine by QuantConnect (C#, Python, F#)
Contributions:952 pushes, 326 branches in 1 year 10 months
pythonalgorithmic-trading-enginebacktesting-trading-strategiespinescriptlean
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