Douglas Sexton is an experienced software engineer with nine years building scalable backend and full-stack systems across startups and large enterprises, currently contracting from Seattle with recent work on a third-party streaming tipping platform. He has shipped distributed services at Amazon and Discovery Education, designed resilient event-handling and payment onboarding systems, and migrated monoliths to async and microservice architectures using Python, Java, and AWS. At smaller companies he owned end-to-end features, used virtual actors and real-time streams for behavioral data collection, and implemented production-ready tooling like a distributed Bloom filter and metadata publishing libraries. An active contributor to the RLBot project, he has hands-on experience reading game memory and creating autonomous bot behavior—an example of his practical systems-level curiosity that aligns with his growing focus on machine learning and AI.
A framework that allows people to write their own Rocket League bots.
Role in this project:
Back-end Developer
Contributions:72 commits, 13 PRs, 65 pushes in 1 year 1 month
Contributions summary:Douglas's commits primarily focus on the development of a bot for the Rocket League game. They implemented game data access through memory reading, setting up the foundational code to read game state variables like player positions, ball position, and game scores. The user created functions to read values and updated controller inputs. They also added functionality for a basic "always towards ball" bot.
Contributions:29 pushes, 1 branch in 6 years 2 months
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