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About
Robotics/Perception Software Engineer at Berkshire Grey who built and hardened a production ROS-based perception + supervision stack for autonomous trailer-unloading robots (RGB-D + LiDAR), including grasp/geometry estimation and segmentation. Diagnosed real-time behavior issues by instrumenting ROS pipelines, then implemented runtime RANSAC-based compensation for LiDAR yaw bias and TF-window validation; also supports containerized deployment on Kubernetes and is actively porting the system from ROS1 to ROS2.
Experience
Software Engineer – Robotics Applications & PerceptionBerkshire Grey Inc.
Robotics Software Engineer Co-opBerkshire Grey Inc.
Robotics EngineerAeolus Robotics Inc.
Embedded Engineer IIEngineering Services International
Systems EngineerFuture Foundry
Education
Northeastern Universitymaster, Robotics (2024)
Vidyalankar Institute of Technologybachelor, Biomedical Engineering (2017)
Key Strengths
Production ROS1 perception stack development in C++ for autonomous trailer unloading
Deep point-cloud and geometry estimation expertise (PCL/Eigen/TF, ROI filtering, RANSAC fitting)
Real-time system debugging via end-to-end instrumentation (timestamps/logs, latency and TF window tracing)
Implemented runtime mitigation for LiDAR yaw calibration bias and improved perception stability
Designed deterministic multi-sensor synchronization using trigger-timestamp alignment with timeouts/fallbacks
Focus on production robustness: validation, edge-case handling (partial occlusions), logging/metrics for field diagnosis
Experience deploying and operating robotics/perception services on Docker + Kubernetes in production
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