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Jeevan Hebbal Manjunath
Junior Robotics & Machine Learning Engineer specializing in autonomous systems
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About
Robotics engineer leading development of a Physical Reservoir Computing controller for a pneumatic soft robotic arm, owning everything from automated data collection and leak-testing automation to hardware design/manufacturing and cross-lab integration with Virginia Tech. Built ROS 2/DDS-based multi-robot systems integrating OptiTrack, a lab quadruped, and a UR5e, and pairs simulation (Gazebo/MuJoCo) + PPO RL training with production-ready tooling (Docker, CI/CD, Flask dashboards, RAG chatbot portfolio).
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Key Strengths
- End-to-end robotics ownership (controller, data pipelines, and hardware design/manufacturing)
- Strong experimental rigor in data quality and troubleshooting (automated leak detection for pneumatic soft robot)
- ROS 2 systems integration across heterogeneous robots and sensors with low-latency coordination
- Methodical real-time debugging and optimization (power constraints, compute load, multithreading, sensor tradeoffs)
- Simulation-to-real workflow (MuJoCo modeling + PPO training in 16 parallel environments)
- Effective cross-team collaboration enablement (clear documentation, onboarding calls, bi-weekly stakeholder syncs)
- Builds developer-facing tooling and dashboards (Flask live data view for debugging/testing)
- Practical deployment skills (Dockerized workspaces, CI/CD, Vercel/GitHub Pages)
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