• Build and maintain GitHub-based project infrastructure, including CI/CD workflows. • Set up and manage environments using Docker and other containerized services. • Develop and integrate coding tool environments for agents to interact with via CLI and APIs. • Contribute to RL and LLM research experiments and prototypes. • Handle data collection, preprocessing, and analytics for ML projects. • Collaborate asynchronously with researchers and adapt to evolving project requirements. • Document infrastructure, pipelines, and experimental results in a clear, reproducible manner.