Work Experience

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Forward Deployed Robotics Engineer | FieldAI (Feb 2026 - Present)

  • Deploy Boston Dynamics Spot robots on active customer sites, integrating FieldAI’s full autonomy stack into real-world industrial environments
  • Develop and deliver client-specific features outside the core product roadmap, bridging customer operational needs with FieldAI’s platform capabilities
  • Act as the primary feedback loop between the field and engineering teams — systematically reproducing, documenting, and triaging bugs discovered in production deployments to drive rapid resolution
  • Serve as L3 escalation support: own and resolve complex field issues that cannot be addressed by application engineers after two rounds of debugging, and route unresolved cases to the appropriate engineering teams

Robotics Deployment Engineer | Path Robotics (Sept 2023 - Feb 2026)

Multi Arm Robot Deployment

  • Deployed the company’s first AW-3 multi-robot production system at a customer site
  • Developed calibration plugins and automation scripts using Python, Bash and C++, cutting deployment bring-up time by 30%
  • Served as codeowner for robot configurations (URDF, MoveIt, clearance planner configurations)
  • Built, debugged, and deployed robotic applications in ROS.
  • Created documentation and trained new engineers, ensuring smooth knowledge transfer to the operations team
  • Experimented with Meta’s Segment Anything Model (SAM) to automate URDF validation by: extracting segmentation masks from CCTV images of robotic systems, generating corresponding masks from the 3D URDF model using camera intrinsics/extrinsics, and applying LightGlue for feature matching and validation
  • Wrote approach strategies and workflows in Python for Path Robotics’ flagship pick, place and weld (AF-1) robotic system, achieving a welding accuracy of 95%
  • Computed spatial transforms and implemented a software testing and release pipeline for production deployment of a custom perception hardware package, achieving higher scan cloud point densities, increased seam accessibility, and improved non-rigid registration performance.

Raw Segment Anything Model (SAM) Results + LightGlue Output:

Final Processed Results + LightGlue Output:

First multi-robot system deployment:

© Sagar Sachdev 2024
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