Yogesh Gajjar

About Yogesh Gajjar

As an Algorithm Engineer at Qualcomm, I design, implement, test, and deploy high-precise localization and mapping algorithms for Level 2+ autonomous vehicles. I am passionate about creating solutions that enable safer and smarter mobility for the future. I have a MS in Electrical and Computer Engineering from USC, where I worked as a volunteer graduate researcher with Prof. Jyotirmoy Deshmukh on developing the first open-source ROS wrapper for DeepSORT multi-object tracking algorithm. I also won the Ford sponsor award at CalHacks 6.0 Hackathon for creating a platform called IDEAS (Intelligent Driver Enhanced Assistance System) using Ford SDL API. My core competencies include C++, Python, ROS, MATLAB, SLAM, State Estimation, Kalman Filtering, Sensor Fusion, Perception, Image Processing, AUTOSAR, Tensorflow, and Keras. I am an avid learner with a practical mindset and a strong inclination towards computer vision and perception in autonomous driving. I like to create things that involve a camera, LiDAR, and a car, and I am excited to be a part of this fusion.

Experience

1. Senior Algorithm Engineer - Localization & Mapping

   美商高通國際股份有限公司

   Dec 2023 — Present · Novi, MI, US

Education

• Nirma University

  Bachelor of Technology - BTech, Instrumentation and Control

  2011 — 2015

• University of Southern California

  Master of Science - MS, Electrical and Computer Engineering

  2019 — 2020

• Udacity

  Nanodegree, Sensor Fusion

Skills

• C
• Microsoft Word
• Microsoft Excel
• C
• Piping and Instrumentation Drawing (P&Id)
• Process Control
• Matlab
• Dcs
• Plc Allen Bradley
• Safety Instrumented Systems