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Sushilkumar Muralikumar
Senior Robotics & AI Engineer specializing in computer vision, multi-robot systems, and GenAI
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About
Robotics software engineer with a Master’s thesis building an end-to-end monocular-vision pick-and-place controller for construction use cases on TurtleBot3 + OpenManipulator, spanning synthetic data creation, transfer learning, simulation in Gazebo, and real-robot deployment. Leveraged ROS distributed architecture to run two heavy AI models across networked GPUs to achieve usable real-time performance, and has production CI/CD experience as a Senior Software Engineer in AI/analytics.
Experience
Education
Key Strengths
- End-to-end ownership of robotics thesis project (simulation to deployment)
- Built monocular-camera controller for construction pick-and-place on TurtleBot3 + OpenManipulator
- Mitigated real-world deployment issues (noise, drift, occlusions) via controller design with target re-acquisition
- Used ROS-based distributed inference across two GPU machines to meet real-time throughput constraints
- Deep ROS/Gazebo integration including MoveIt, XACRO modeling, and physics/pickup plugin fixes
- Systematic real-time debugging using sensor/vision data, coordinate frames, and environmental factor analysis
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