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Deepam Ameria
Intern Robotics Software Engineer specializing in autonomy, perception, and control
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About
Robotics software engineer with hands-on experience building autonomy features across perception, planning, and systems integration—most notably for an autonomous lunar rover that detects and geometrically models craters to plan terrain manipulation. Also owned development of an autonomous stair-climbing module for a quadruped robot as an intern, and has real-time motion-planning/IK debugging experience on a Franka Panda using RGB-D (RealSense).
Experience
Education
Key Strengths
- End-to-end robotics stack delivery (perception → planning → behavior executive integration)
- Performance optimization for real-time perception pipelines using multithreading (resolved inference/frame-rate stalls; targeted ~1 Hz)
- ROS 2 architecture design using actions to reduce node/message congestion and control data flow
- Applied sensor fusion experience using Robot Localization (IMU, LiDAR, wheel encoders)
- Motion-planning optimization and safety debugging for a Franka Panda arm (IK validation, self-collision avoidance, workspace/envelope constraints)
- Ownership of a full autonomy feature module (autonomous stair-climbing for a quadruped robot) during internship
- Practical deployment/workflow improvement via Docker to match mismatched Ubuntu/ROS environments
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