Pittsburgh, PA · Summer 2027 internships

Robotics Software Engineer.Building intelligent machines.

I spent four years at Venti Technologies, an MIT spinoff, building the C++ navigation stack for self-driving trucks operating in seaports and rail yards. Now pursuing an MS in Robotic Systems Development at Carnegie Mellon University, I'm expanding my focus to learning-based perception, computer vision, and motion planning.

I'm seeking Summer 2027 internships in robotics software and machine learning, where I can combine real-world autonomy experience with emerging learning-based approaches.

Away from robots, I play squash, recently got into scuba diving, and watch sitcoms.

ProjectsResume
Say hello
Portrait of Vamsi Grandhi

Tools I use

Skills

  • C++
  • Python
  • ROS1 / ROS2
  • PyTorch
  • Nav2
  • Bazel
  • Docker
  • Git
  • Linux

School

Education

  1. Carnegie Mellon University

    Aug 2026 – May 2028

    Pittsburgh, PA

    MS, Robotic Systems Development

    Coursework in progress: Robot Mobility, Robot Autonomy, Deep Learning.

  2. Nanyang Technological University

    2018 – Jun 2022

    Singapore

    BEng, Mechanical Engineering with Honours (Highest Distinction)

    Robotics and Mechatronics specialization, entered early among the top 10% of the cohort.

    Minor in Computing and Data Analysis.

    Dean's List Scholar, AY19/20.

Industry

Experience

  1. Venti Technologies

    Singapore

    MIT spinoff founded by Daniela Rus. Joined at fewer than 20 people; now 100+. Autonomous vehicle logistics for seaports, railyards, and industrial hubs.

    • Senior Software Engineer, Planning and ControlJul 2025 – Aug 2026
    • Software Engineer, Planning and ControlJul 2022 – Jul 2025
    • Built the perpendicular-parking and dynamic reverse path planning features for non-holonomic truck-trailers, and took the parking planner from around 60 seconds to under 500 milliseconds.
    • Co-built a 3-person remote operations system using MQTT and Cap'n Proto, and a route recommendation feature from live sensor feeds.

    Read more →

  2. Panasonic R&D Center

    Singapore

    Autonomous mobile robots for hospitals and assisted mobility.

    • Research Intern, Autonomous Mobile Robot NavigationJan 2021 – Aug 2021
    • Migrated an autonomous wheelchair and a medication-delivery robot from ROS1 to ROS2 in about two months against a six-month estimate.
    • Integrated Nav2 with region-based speed regulation and added Dubins-path docking for autonomous charging.

    Read more →

  3. Earlier internships — Whizz Mobility, HOPE Technik2019 – 2020

    1. Whizz Mobility

      Singapore

      Autonomous food-delivery robots.

      • Mechatronics and Operations InternJun 2020 – Aug 2020
      • Modeled the chassis, wheels, and motors of an autonomous food-delivery robot in Fusion 360, created production drawings, and helped assemble the robot in 40 days.
      • Designed and 3D-printed several versions of a self-opening food box fitted with servomotors, and calibrated an Artillery Sidewinder X1 to print the parts.

    2. HOPE Technik

      Singapore

      Specialist vehicles and mechanical design.

      • Mechanical Engineering InternMay 2019 – Jul 2019
      • Worked with technicians to build a medical service vehicle and meet project milestones.
      • Built a CAD model of an Isuzu truck in SolidWorks, and reviewed commercially available exoskeletons for a possible new project.

Projects

Selected work

Papers and labs

Research

  1. Gravity compensation for the HEBI X5-4 actuator

    Aug 2021 – May 2022

    NTU Final Year Project (Honours). Multivariate regression gravity-compensation algorithm for the HEBI X5-4 actuator in Python, with 98.9% accuracy, a 67% reduction in trajectory error, and safer human-robot interaction at 50% position gain.

  2. Conference publication: Open access in educational research

    Presented Apr 2022

    Grandhi, Vamsi. “Open Access in Educational Research: Insights from Large-scale Analysis in the Past 40 Years.” 2022 Annual Meeting of the American Educational Research Association, San Diego, CA, 21 April 2022.

  3. Neural signal classification from calcium imaging

    Aug 2020 – May 2021

    URECA research scholar. Built generalized linear models over calcium imaging data from mouse behavioural studies, using correlation analysis and FFT for feature extraction from high-dimensional time series.

Personally

What I enjoy

  • Squash

    Squash

    My go-to way to stay active.

  • Scuba diving

    A new hobby I picked up recently. I'm enjoying learning something completely different.

  • Sitcoms

    Sitcoms

    Easy to watch and easy to rewatch. My default way to unwind.