My Journey into Robotics
I'm a Robotics Software Engineer passionate about building systems that move, think, and actually function in the real world.
My academic path began with a degree in Aerospace Engineering from IIT Kharagpur, India, where I first got pulled into the world of control systems. That curiosity gradually snowballed into a broader obsession with robotics, leading me to pursue a Master's in Robotic Systems Development at Carnegie Mellon University.
At CMU, I built a strong foundation across the robotics stack, working with hardware, perception, localization, planning, control, and systems integration. Along the way, I discovered a deep interest for motion planning and reinforcement learning, areas where I continue to build expertise.
I currently work at HEBI Robotics, where we build modular robots, tools, and mobile platforms designed to bring real-world autonomy to life. Our long-term vision is to make robots as intuitive and modular as LEGO blocks — enabling anyone to build, adapt, and deploy our robots to solve their problems.
Robots, Code, and Everything Between
At HEBI Robotics, I've worked on a range of projects from designing a monocular visual odometry system for feature-sparse environments, to developing a modular, multi-arm mobile robot with reconfigurable tooling for soil characteristic analysis.
I also built a physics-based simulation environment using MuJoCo, emulating HEBI modules as virtual actuators on the network. This allows users to run the exact same control code in both simulation and on real hardware, making it easier to test, iterate, and deploy algorithms safely.
Beyond that, I lead the development of our open-source HEBI ROS 2 APIs, making sure our tools are accessible, robust, and developer-friendly.
Before HEBI, during my time at CMU, I worked on several exciting projects including a lunar-terrain excavation robot as part of my year-long capstone. I also built an autonomy stack for Roboracer (formerly F1Tenth — small racecars, serious autonomy problems) and researched learning-based motion planning for off-road vehicles using self-supervised techniques.
Across all these projects, I've always been drawn to one thing: building autonomy stacks that leaves the lab and survive (ideally, thrive) in the messy, unpredictable chaos of the real world. Whether it's data-driven autonomy stacks, classical motion planning, or robot arm APIs, I enjoy building software that interacts meaningfully with the physical world.
If you want to dig deeper into the technical side of my work, check out the Projects section.
Outside the Lab
Basketball has always been a huge part of my life, and I'm a lifelong Kobe fan (yes, he lives rent-free on my lock screen). His work ethic and the way he approached the game continue to influence how I think about focus, calmness, and discipline, both on and off the court.
I grew up playing the piano and still sit down at the keys whenever I need to reset. Primavera by Ludovico Einaudi is my go-to song — mostly because it's beautiful and also since it's the only one I still remember how to play ( ´･･)ﾉ(._.`)
During the pandemic, I picked up chess and have been stuck in the 3-minute blitz loop ever since. It's fast, competitive, and a great way to pretend I'm sharpening my brain.
What I'm Into Lately.
Last updated: Apr 28, 2025
Right now, I'm balancing a few things that are keeping me challenged (and somewhat hydrated).
- At work, I've been getting into trajectory generation for our robot arms. The current API generates a minimum jerk trajectory given set of waypoints with timestamps. I'm exploring ways to eliminate the need for timestamps and make the trajectory the optimal one given constraints like joint limits, velocity limits, etc.
- I'm also planning to take part in the Roboracer Sim Racing competition at ICRA 2025. I've been revisiting some classical planning approaches like MPC, which I originally worked on during the F1Tenth course at CMU, and tuning it for the sim.
- Outside of work, I've finally started playing basketball again. It's been good to get moving after winter, and it's probably the only time I'm away from a screen these days. Blitz chess is still my go-to dopamine loop, and I'm not even sorry (˶𖦹﹏𖦹˶)
- I've also started learning more about investing, now that I actually earn money and feel vaguely responsible for it.
Nothing too dramatic — just a rotating set of habits, side quests, and attempts at balance.
Let's Connect
If you're into robotics, autonomy stacks, embodied AI — or want to argue why Max Verstappen is the best driver out there, emotionally process the news of Dallas Mavericks trading Luka Doncic, or just chat about life — feel free to hit me up on any of the platforms below.
