Hi there! I am a 2022 graduate of the Department of Mechanical Engineering, Indian Institute of Technology, Kharagpur. From the very beginning, I was passionate about automobiles which led me to pursue mechanical engineering in one of the elite universities of the nation. I'm pursuing a master's in mechanical engineering at the Ohio State University (OSU) specializing in automotive systems and mobility. Curently, I'm working as a Graduate Research Associate towards OSU's AutoDrive team participating in the General Motors - SAE AutoDrive Challenge. Primarily, my research interests lie in the field of autonomous driving, vehicle controls, and safety.
I am a die-hard Formula 1 fan with Max Verstappen being my favorite driver and Scuderia Ferrari, my favorite constructor. When it comes to circuits, I prefer Silverstone and Circuit de Monaco. I like to play PC games like GTA, F1 and FPS games like Call of Duty, quite a lot. Coming to music, Alan Walker, Maroon V and The Chainsmokers are my all-time preferred composers and the most efficient stress busters. I am a curious cat and my search history is the evidence for the same! I'm an avid reader and a keen learner. I am also inclined towards blogging, in my free time. Occasionally, I do spend time writing poems corresponding to various genres. If you are interested, please visit the Few Words section.
Master of Science (M.S)
Major: Mechanical Engineering
Graduate Specialization in Automotive Systems and Mobility
GPA: 4.0/4.0 [2 Semesters]
Bachelor of Technology (B.Tech)
Major: Mechanical Engineering
Micro Specialization: Embedded Control, Software, Modeling and Design
Major CGPA: 9.26/10 | Micro CGPA: 9.5/10
Science with Computer Science
Class X - CGPA: 9.8/10
Class XII - Grade: 93.6%
I collaborated with Dr. Siddartha Khastgir and his team as a research collaborator to develop robust translators
for Scenario Description Language (SDL) (and its levels) which is used in ADS simulations.
I was involved with a multidisciplinary technical team to develop and test control algorithms for the prototype Hybrid Mobility Robot while ensuring
the safety and efficiency of the overall system.
I have worked with Dr. Jeffrey P. Chrstos on the performance assessment of Driver-in-the-Loop (DiL) simulators.
The project is focused on the evaluation of platform’s motion, steering response and visual cues.
As a summer intern for a duration of 3 months, I worked on the memory footprint and inference time reduction for Deep
Learning models used in automotive applications. I used AI compilers like TVM, Glow and MATLAB to generate deployable
executables for the target hardware and developed a consolidated method to facilitate easier deployment of DL models.
This internship was aimed at exploring and implementing state-of-the-art SLAM algorithms. I worked with the Octomap
representation of lidar point clouds for better visualisation of maps. Also, I implemented the Particle Filter (GMapping)
SLAM algorithm to generate maps using lidar and odometry data.
This internship was aimed at the applications of Machine Learning for lane following and intersection management of autonomous vehicles.
I generated the required datasets and formulated the Markov Decision Process representation.
I was involved with the R&D team to contribute to the autonomous drone, rover and valve automation projects. Initially, I worked on the
autonomous landing of the drone using image processing on Raspberry Pi4 and on the design, analysis, and testing of the GSM-operated
motorized valve control.
Get in touch with me!