Professional Experience
Academic and Industry Positions
Working on exciting research on safety evaluations for AVs with NVIDIA Research!
Student of New Faculty in the Department of Aeronautics and Astronautics, Stanford University where I am advised by Prof. Somil Bansal as a part of the Safe and Intelligent Autonomy Lab.
PhD Candidate
Research Focus: Advancing safe decision-making of robotic systems using control theory, planning, and machine learning as part of the Safe and Intelligent Autonomy Lab
KEY RESEARCH AREAS:
- Safety Monitoring for Robots with Complex Perception Enabled Systems
- Detection and Mitigation of Failures for Safety-Critical Autonomous Systems
- Provably Safe Controller Designs for Autonomous Robots
Project: Designed Deep Neural Network for LiDAR-based Detection of Visual Fiducial scans achieving 99.82% accuracy (1% improvement over state-of-the-art) under Prof. Jessy Grizzle.
TECHNICAL ACHIEVEMENTS:
- Processed over 80GB of real-world datasets from Cassie robot's Vision Suite
- Applied SVD and homogeneous transforms for dimensionality reduction and feature engineering
- Developed novel convolutional RNN network using LSTM and PointNets
Graduate Research Student
Biologically Inspired Robotics and Dynamical Systems Lab
University of Michigan, Ann Arbor
Project: Designed self-righting shell for terrestrial hexapod "Big Ant" under Prof. Shai Revzen, focusing on bio-inspired robotics solutions.
TECHNICAL ACHIEVEMENTS:
- Optimized spline designs using 2nd order differential equations in MATLAB
- Applied geometric structures such as Gomboc for equilibrium position concepts
- Modeled 3D shell structure inspired by hexapods using SolidWorks and Autodesk Inventor
Innovation Chair
Human Powered Vehicle Student Team
ASME Asia Pacific
Leadership Role: Led innovative safety feature development for two-wheeled vehicles with automatic braking and balancing systems, managing cross-functional engineering teams.
KEY INNOVATIONS:
- Implemented proximity sensor-based emergency braking and balancing platform
- Designed CAD models, applied FEA, and programmed embedded systems in C
- Developed airbag helmet system using BeagleBone/Arduino with IMU sensors
Plant Automation and Calibration Intern
Hindustan Petroleum Corporation Limited
Budge Budge, WB, India
Impact: Calibrated and maintained datasets for centrifugal pump operations, achieving 35% cost reduction through automation improvements.
TECHNICAL CONTRIBUTIONS:
- Applied regression techniques to estimate operational costs with 0.75% margin of error
- Analyzed Variable Frequency Drives and calibrated industrial flowmeters
- Presented research on "Effect of Variable Frequency Drive on Mechanical Efficiency of Reciprocating Pumps"