Ryan Amaral
Intermediate Software Developer
Greater Halifax Metropolitan Area Canada
Summary
👤
Senior🎓
Top SchoolRyan Amaral is an intermediate software developer with 10 years of experience building cloud-native backends and machine learning systems, specializing in Python, Go, Kubernetes, AWS, and Kafka. He bridges research and production—taking ML prototypes (notably object detection) to deployed services at MDA Space—and brings a research MS in reinforcement learning and genetic programming to practical engineering problems. His background includes full-stack work on maritime domain awareness systems and contributions to well-regarded open-source projects like PettingZoo, where he improved testing and type-safety for multi-agent RL environments. Comfortable across R&D, production engineering, and QA automation, he favors writing fast, effective code and improving reliability through tooling and tests. Based in Halifax, Canada, he’s equally at home optimizing ML models and designing resilient microservices for operational use. An early app developer with a past title that reached 100K+ downloads, he combines product sensibility with a strong academic grounding.
10 years of coding experience
2 years of employment as a software developer
Master of Computer Science, Reinforcement Learning with Genetic Programming, Master of Computer Science, Reinforcement Learning with Genetic Programming at Dalhousie UniversityInformation Technology, Information Technology, Information Technology, Information Technology at Nova Scotia Community College
English
Github Skills (7)
gymnasium10
api10
python10
reinforcement-learning10
testing10
pytest9
multi-agent-reinforcement-learning8
Programming languages (3)
Github contributions (5)
Farama-Foundation/PettingZoo
Dec 2021 - Jan 2022
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:17 commits, 1 PR, 3 comments in 27 days
Contributions summary:Ryan's contributions primarily focused on enhancing the testing infrastructure of the repository. This included setting up pyright tests to check for type errors, integrating render tests, and adding test functions to the existing api test suite. The user modified existing test files and added new test functions. Further, the user addressed issues related to undefined variables to maintain code quality and stability.
agentreinforcement-learningreinforcement-learning-agentgymnasiumdeep-reinforcement-learning
Ryan-Amaral/super-gravity
Jul 2019 - Jul 2019
Contributions:39 commits, 38 pushes, 4 branches in 17 days
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