Hi, I'm Harsh Shah
Enjoying MS in Machine Learning at Carnegie Mellon University
My research interests primarily revolve around statistics and machine learning, with a particular focus on their intersection with robotics.
Download Resume
My research interests primarily revolve around statistics and machine learning, with a particular focus on their intersection with robotics.
Download Resume
I am a graduate student pursuing Master's in Machine Learning program at Carnegie Mellon University (CMU). I love to involve myself with complex and interesting systems, and autonomous robots are no different.
Currently, I have been working in Auton Lab (advised by Jeff Schneider) with the self-driving group to improve language conditioned autonomous driving via evolutionary search on diffusion policies (more info here). (Demo).
Earlier, I use to lead Mars Rover Team at IITB, where we used make autonomous rovers to rule over unknown terrains.
Even now and then I work on building projects that interest me, and can find some of them in the projects section.
Love playing table tennis (a good player I am), which has helped me many other racket sports: squash, tennis, badminton.
Spent much of my spare time in childhood playing FPS games (CSGO, Valorant, Overwatch, etc.), and I am living in my childhood.
You defeat me in Super Mario, I give you a free hat.
Working at Auton Lab with Prof. Jeff Schneider to improve language conditioned autonomous driving via evolutionary search on diffusion based policies.
Working on an XR project for making neuroscience study easier and accessible to all. Creating interactive visualizations of neural structures and processes.
Platform that provides personalized academic paper reading experience to every researcher
Collaborated with Microsoft Research and University of Central Florida on domain generalization techniques.
Worked with Prof. Parag Chaudhuri on a research project at IITB.
Worked with NLP team of Dr. Jian SU, as a research intern at A*STAR.
Worked with Dr. Micol Spitale, as a research intern at AFAR labs, University of Cambridge.
Implemented scene rendering with Phong illumination model using C++ and OpenGL.
Implementation of ORB-SLAM using Python and ROS for visual mapping and localization.
Java-based Android application for healthcare monitoring and contact tracing.
Implementation of video denoising using low-rank matrix completion in Matlab.
Published to European Conference on Computer Vision 2024
A novel approach to optimize range search operations using adaptive group testing techniques, resulting in significant performance improvements for spatial databases.
Technical Report, 2022
A framework for achieving coherent rendering in mixed reality environments, focusing on accurate light estimation and shadow consistency between virtual and real objects.
Say hello to me at...
prodigy.harsh18@gmail.com
