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Parth Gupta
Junior Robotics & Computer Vision Engineer specializing in perception and autonomy
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About
Robotics engineer with capstone experience building an autonomous food-assembly robot arm, owning perception/deep learning (SAM2-based segmentation) and a model-based RL manipulation policy for deformable food items while also serving as project manager. As a robotics engineering intern at Salin247, optimized an autonomous farm vehicle perception stack to hit 20 FPS by cutting latency from 200ms+ to ~40ms using GPU acceleration (CUDA OpenCV, CuPy) and multiprocessing, and built ROS 2 nodes for real-time perception and streaming.
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Key Strengths
- Built ROS 2 perception node integrating RealSense + TF tree with service-based APIs for segmentation and pick-point calculation
- Debugged unreliable TF data by implementing sanity checks, retries, and failure handling for robustness
- Reduced perception pipeline latency from >200ms to ~40ms to meet 20 FPS real-time constraint using CUDA OpenCV, CuPy, vectorization, and multiprocessing
- Hands-on experience with RGB + LiDAR obstacle detection for autonomous navigation
- Led capstone project execution as project manager (Gantt/WBS, weekly sprint meetings, task assignment, demo presentations) while contributing technically
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1 publication
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