Jai Agarwal

Robotics @ Sunday

Santa Clara, California, United States

About

I am a graduate student from Columbia University, currently working in a surgical robotics start-up as a Robotics Mechanical Engineer. Having completed my Masters in Mechanical Engineering (Robotics and Control Track), I am passionate about the revolution robots and autonomous systems are bringing about in the world, and am excited to work on the industrial applications of soft robotics, healthcare robotics and autonomous vehicles. Please feel free to go through my portfolio on agarwaljai.com to learn more about my professional experience and research work.

Experience

  • Robotics Systems Engineer at Sunday
    Apr 2026 - Present · 4 mos

  • Figure (1 yr 2 mos)
    • Manager - Echo
      Oct 2025 - Feb 2026 · 5 mos

    • Systems Integration Engineer
      Jan 2025 - Oct 2025 · 10 mos

  • Neocis ()
    • Staff Robotics Engineer
      Mar 2024 - Jan 2025 · 11 mos

    • Senior Robotics Engineer
      Jul 2022 - Mar 2024 · 1 yr 9 mos

    • Robotics Engineer
      Jan 2021 - Jun 2022 · 1 yr 6 mos

  • Research Assistant at Columbia University in the City of New York
    Sep 2020 - Jan 2021 · 5 mos

    - Designing an analytical shield for safe exploration in a limited state space using Reinforcement Learning, for dexterous 3D manipulation using a 4-finger gripper with tactile sensing in the Robotics Manipulation and Mobility Lab, Columbia University

  • Robotics Engineering Intern, R&D at Neocis Inc.
    Jun 2020 - Aug 2020 · 3 mos

    - Prototyped a Splint deflection testing device to characterize more than 0.5mm error at the dental implant location, tracked by a7 DOF tracker arm attached to the patient’s jaw minimizing surgery failure rate. Fabricated using SLA 3D printing and validated the performance using experimental data acquired using CMMs such as Atracsys 500 and Quantum Faro Arm - Designed a Phantom and implemented Image Quality Assessment Metrics in Python using OpenCV for enhanced qualification of Cone Beam Computed Topography (CBCT) Scanners integrated with the Yomi Robot Surgery System - Designed Rviz and Gazebo packages for simulating collision free motion planning and control of the Schunk Guide Arm