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About Me

I am a Masters student in Automotive Engineering, specializing in behavior planning, path planning and control of autonomous vehicles.
I am currently interning at Mitsubishi Electric Research Laboratory, developing behavior planner for Mitsubishi's autonomous vehicles segment in Japan
The idea of accident free roads fascinate me and I am working towards developing my skills to be a well rounded autonomous engineer.
This website is a show case of some of my projects that I have been working on. I invite you to explore my site, learn about my passions, and explore what excites and interests you as well.

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Relevant Experience

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Behavior Planning Research Intern

Mitsubishi Electric Research Laboratory

January 2020 - Present

  • Developing the behavior planner for Mitsubishi's autonomous vehicles segment in Japan

  • Working on algorithms for decision making in various scenarios such as Lane Keeping, Lane Change, Merging, Intersections etc.

  • Designing the test cases and simulations to verify the algorithm 

  • Integrating the motion planner, behavior planner and control algorithms for the actual implementation

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Research Assistant

Clemson University International Center for Automotive Research (CU-ICAR)

Jan 2019 - Dec 2019

  • Autonomous Planning and Control of scaled robots

  • Anticipatory collision avoidance in mobile robots using Non Holonomic - Time to Collision Approach

  • Was part of the team developing an autonomous lawn mower for Samsung. Worked on semantic segmentation of the terrain using deep learning techniques 

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Perception Engineer

Deep Orange 10

Jan 2020 - June 2020

  • Was part of the team that developed an electric autonomous mobility concept for 2030 Smart City life as a Part of the team. This project was sponsored by Ford Motor Company

  • Developed an algorithm for road lane detection using OpenCV libraries, thresholding using sobel absolutes, magnitudes and gradients and HSV color

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Software Proficiency

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C++

Proficient

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MATLAB/SIMULINK

Proficient

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Python

Intermediate

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ROS

Intermediate

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Other Experience

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Platform Product Engineer

Cummins Turbo Technologies

Feb 2016 - June 2018

  • Worked on developing turbochargers for High Horse Power applications

  • Led a team involving people from Structural Analysis, Computational Fluid Dynamics for reducing the compressor stage thermal distortion and to improve stage efficiency. Developed concept has been filed for invention disclosure

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Applied Mechanics Engineer

Cummins Technical Center India

June 2015 - Feb 2016

  • Analyzed engine strain and vibration data using various digital signal processing techniques

  • Worked on and resolved field failures like engine radiator tube thermal cracks, fuel pump crack issue, and engine radiator fan blade vibration failure

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Vehicle Dynamics Lead

Team Kshatriya

Nov 2012 - Feb 2015

  • Led the Vehicle Dynamics department of the team

  • Designed and developed single seated all-terrain vehicles for BAJA SAE India 2014 and 2015 events.

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Academic Projects

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Autonomous planning and control of scaled robots

Implemented Adaptive Model Predictive Control for obstacle avoidance, lane keeping and adaptive cruise control of ROS based scaled F1/10th vehicles

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Anticipatory collision avoidance for autonomous robots

Used Non holonomic time to collision (NH-TTC) approach to generate collision free path for turtlebots

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Autonomous Driving of Differential Drive Robots

Worked on ROS platform to develop algorithms for perception, motion planning and control of Turtlebot3Waffle pi for line following,
blob tracking, human tracking and obstacle avoidance

Home: Projects
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Autonomous Drifting of a Robot Car in Simulation

Developed algorithms for Autonomous Drifting of a robot car using Probabilistic Inference for Learning Control (PILCO)

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Discrete motion planning of a simple car using A*

Implemented A* algorithm for grid based motion planning of a simple car

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Crowd collision avoidance

Implemented crowd collision avoidance using force based method

Home: Projects
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Deep Orange 10 (Ford)

Developed an algorithm for road lane detection using OpenCV libraries, thresholding using sobel absolutes, magnitudes and gradients and HSV color

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Vehicle Detection using 3D LIDAR data

Used VoxelNet architecture for detecting the vehicles using 3D LIDAR data

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Autonomous Lawn Mower terrain segmentation- Samsung

 Worked on the semantic segmentation of the terrain using AdapNet

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