CV
You can download my cv from here
Education
- M.S. in Mechancial Engineering, Carnegie Mellon University, Dec 2023
- Coursework:Robot Localization and Mapping, Machine Learning and Artificial Intelligence, Linear Control Systems, Introduction to Deep Learning, Optimum Control and Reinforcement Learning, Decision Making and Path Planning
 
 - B.S. in Mechanical and Aerospace Engineering, Univesirty of California Davis, June 2022
- Coursework: Mechatronic Systems, Automated Control Systems, Aircraft Stability and Control, Aircraft Aerodynamics
 
 
Work experience
- Principal Engineer Autonomy – Oshkosh Corporation, Pittsburgh, PA (01/2024 - Present)
- Responsible for developing and testing new features for the L3 autonomy stack and on vehicle testing and Integration.
 - Improved the EKF localization feature for improved accuracy and validating performance through simulation testing.
 - Designed and developed Request to Intervene (RTI) feature to enable driver intervention for safe on-road autonomy.
 - Evaluated new hardware platforms and compared their performance to NVIDIA Jetson systems with autonomy stack.
 - Supported Vehicle Remote Operation Algorithm Development and installation and autonomy stack integration.
 - Testing and validating Thermal and Stereo Cameras for obstacle and object detection during autonomous driving
 
 - Hardware Software Integration Intern – Monarch Tractor Inc. , Livermore, CA (Summer 2023)
- Creating cohesion between the software of multi-architecture distributed computer systems and the hardware like Jetson Orin AGX and Jetson Orin NX.
 - Supported development of test beds to check the drop-in Controller Area Network(CAN) connection in vehicles.
 - Built an interface to simulate ROS-to-CAN messages and test communication between different components on the vehicle using CANalyzer tools.
 - Conducted FMEA and risk assessment analysis for custom boards with compact computing Modules.
 
 - Undergraduate Research Assistant at Laboratory for AI,Robotics and Automation (06/2021 - 06/2022)
- Built telescopic retractable wing subsystem for power-efficient quadcopter drones increased with flight time.
 - Performed structural and FEA analysis on new iterations of telescoping wing subsystem using Solidwork.
 
 - Undergraduate Research Assistant at cyber human physical systems lab (03/2021 - 12/2021)
- Designed drones for environmental scientists to study the impact of wildfires on human health and gaseous pollutant concentration and quantitative aerosol distribution from burning events.
 - Manufactured the air pollutant sensor compartment and landing legs of chassis for drone using Solidworks.
 
 
Skills
- Software Skills
- Python ( OpenCV, Pytorch,Tensorflow, Pyspark)
 - C++ ( OpenGL, Data Structures, Object Programming)
 - MATLAB
 - Solidworks
 - R
 - ROS
 - Julia
 
 - Hardware Skills
- Raspberry Pi
 - Arduino
 - 3D printers
 
 - Technical Skills
- Computer Vision
 - Control System Design
 - Finite element Analysis (FEA)
 - Machine Learning and AI
 - Mechatronics System design
 - Numerical Analysis
 - Structural Analysis
 - Simultaneous Localization and Mapping (SLAM)
 - Space System Design
 - Robot Dynamics
 - Vehicle Controls
 
 
Service and leadership
- Club Secretary, Space and Satellite Systems Club at UC Davis
 - Magnetorquer Sub System Lead, Space and Satellite Systems Club at UC Davis
 - Suspension System Lead, RoveCrest at UC Davis
 
