Lalit Phadtare

Senior Software Engineer @ Motional

About Lalit Phadtare

Lalit Phadtare is a Senior Software Engineer at Motional, with extensive experience in software quality engineering and technical research. He has a strong background in electronics and mechatronics, having worked in various roles across multiple companies since 2009.

Work at Motional

Lalit Phadtare has been employed at Motional as a Senior Software Engineer since 2020. His role involves developing automated driving systems and camera pipelines, which are critical components in the field of autonomous vehicles. Located in Boston, Massachusetts, he has contributed to various projects that enhance the functionality and safety of self-driving technology.

Previous Experience

Before joining Motional, Lalit Phadtare worked at MathWorks as a Senior Software Quality Engineer from 2013 to 2020. His responsibilities included ensuring the quality and reliability of software products. He also interned at Carestream Health in the Research and Innovation department for three months in 2012, where he gained practical experience in a research environment. Additionally, he served as a Graduate Research Assistant at the Rochester Institute of Technology's Image Computing Lab for five months in 2012.

Education and Expertise

Lalit Phadtare holds a Bachelor of Engineering in Electronics Engineering from the University of Mumbai, completed in 2010. He furthered his education with a Master of Science in Electrical Engineering, focusing on Digital Signal and Image Processing and Digital Systems Design, from the Rochester Institute of Technology, which he completed in 2013. He also studied Mechatronics, Robotics, and Automation Engineering at Udacity, earning a certification as a Self Driving Car Engineer in 2019.

Technical Skills

Lalit Phadtare possesses expertise in handling Hardware-in-the-Loop (HIL) simulations, which are essential for testing complex systems. He has developed skills in both FPGA and GPU technologies, which are crucial for high-performance computing tasks. Additionally, he utilizes scripting languages such as MATLAB, Python, and JavaScript to enhance software development processes, contributing to advancements in computer vision and digital design.

Internship and Early Career

Lalit Phadtare began his career with internships that provided foundational experience in engineering. He interned at Bombay Dyeing for one month in 2009 and worked as a Project Trainee at L&T Technology Services Limited from 2009 to 2010 for nine months. These early roles contributed to his technical skills and understanding of engineering principles.

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