Matthew Sedam
Software Engineer at Google
Louisville Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolMatthew Sedam is a seasoned software engineer with 11 years of experience building reliable systems at scale, currently working on Android and Pixel Context Hub at Google. He previously developed rebootless hotpatching and automated incident response for Windows and Azure at Microsoft, driving GA of hotpatching and reducing incident response time. His backend contributions to open-source projects include integrating Kraken crypto market data into QuantConnect's widely used Lean trading engine and backend cleanup work for Golem’s compute marketplace. With a BS and MS in Computer Science and Mathematics from Vanderbilt, he blends strong systems and security engineering with a pragmatic focus on tooling and data integration. Colleagues describe him as a quiet problem-solver who surfaces subtle protocol and rate-limit issues before they reach production.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Science (BS), Computer Science and Mathematics, Bachelor of Science (BS), Computer Science and Mathematics at Vanderbilt University
German
Github Skills (19)
apim10
python10
finance10
kraken10
go10
api10
dotnet-core10
krakend10
csharp10
algorithmic-trading10
trading9
ethereum9
rest-api8
error-handling8
api-rest8
Programming languages (5)
Github contributions (5)
golemfactory/clay
Jul 2017 - Sep 2017
Golem is creating a global market for computing power.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:11 commits, 3 PRs, 6 comments in 1 month
Contributions summary:Matthew primarily focused on back-end development tasks within the Golem project. Their contributions included removing UI elements from the Accounts section and associated code, indicating modifications to the application's user interface elements. They also made test modifications and merged develop branch into the issue branch related to removing the description which likely involved refactoring and code cleanup.
pythonethereump2pblockchaincryptocurrency
QuantConnect/Lean
Oct 2017 - Nov 2017
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Role in this project:Back-end Developer
Back-end DeveloperContributions:7 commits, 2 PRs, 11 comments in 13 days
Contributions summary:Matthew primarily focused on implementing a Kraken data downloader for the Lean algorithmic trading engine. Their work involved creating a data downloader class in C# to fetch trade data from the Kraken API. They addressed various issues, including incorrect timestamp formatting and rate limiting, improving the downloader's reliability. The user's contributions enabled the integration of cryptocurrency market data into the Lean platform.
algorithmic-trading-enginepythonpinescriptbacktesting-trading-strategiesc-sharp
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