Experience

  1. Research Assistant

    Northeastern University
    Research that deals with multi-agent robotic systems, with a focus on safety certificates with minimal performance impact.

  2. Course Assisstant and Grader

    Northeastern University

    The course aims to provide students with the fundamentals of modeling and control of robotic manipulators.

    Responsibilities include:

    • Assisted Professor Yasin Yazicioglu to design course topics, assignments, and projects for 40 undergrad students.
    • Delivered demonstrations to students relating to Motion Planning and Control of Manipulators and planned out the logistics for the project.

  3. Control Software Engineer Co-op

    Robert Bosch LLC

    Responsibilities include:

    • Developed and validated the Automotive Connectivity Hub, enabling real-time vehicle CAN data collection, on-board diagnostics, and third-party app integration.
    • Performed Verifcation & Validation through Hardware-in-Loop testing of the Automotive Connectivity Hub and provided customer support during its launch in the North America market.
    • Integrated and validated a retrofit predictive cruise control optimization algorithm for semi-trailer trucks on Automotive Connectivity Hub, achieving 4% fuel savings.

  4. Software Developer Intern - Autonomous Vehicles

    Drobot Inc

    Robotics Software developer providing Warehouse Automation solutions.

    Responsibilities include:

    • Elevated the Segway RMP robot’s control algorithm performance by 60%, using vehicle modeling to integrate feed-forward elements in a PID Controller
    • Pioneered the implementation of the AprilTag framework, revolutionizing precision docking for a differential-drive robot by reducing pose error three-fold
    • Performed analysis on raw UWB-RTLS data streamed using MQTT and eliminated 75% of the fluctuations and jitters in the data by employing Extended Kalman Filter

Education

  1. MS Robotics

    Northeastern University, Boston

    GPA: 3.95/4.0

    Courses included:

    • CS 5180 Reinforcement Learning
    • CS 5330 Pattern Recognition & Computer Vision
    • CS 5335 Robotic Science & Systems
    • EECE 5550 Mobile Robotics
    • EECE 5554 Robotics Sensing & Navigation
    • EECE 7150 Autonomous Field Robotics
    • ME 5250 Robot Mechanics and Control

  2. BTech Mechanical Engineering

    Indian Institute of Technology, Varanasi

    GPA: 3.64/4.0

    Societies/Activities: Team AVERERA

Skills
Programming
Python
Data Science
SQL
Hardware
Hiking
Cats
Photography
Interests
Hiking
Cats
Photography
Awards
Global Winner of Shell Eco-marathon 2021
Shell Eco-marathon ∙ July 2022
I studied the foundational concept of neural networks and deep learning. By the end, I was familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks; implement efficient (vectorized) neural networks; identify key parameters in a neural network’s architecture; and apply deep learning to your own applications.