Haris Sami
About Haris Sami
Haris Sami is a Field Application Engineer specializing in Sensor Fusion and Perception at LeddarTech, with a background in electronics engineering and advanced studies in self-driving car technology. He has experience in technical sales and product marketing, and possesses expertise in computer vision, deep neural networks, and autonomous vehicle systems.
Work at LeddarTech
Haris Sami currently serves as a Field Application Engineer specializing in Sensor Fusion & Perception at LeddarTech. He has been with the company since 2021, contributing to the development and implementation of advanced driver-assistance systems (ADAS). His role involves applying his expertise in computer vision and deep neural networks to enhance sensor technologies. He operates from Toronto, Ontario, Canada, where he collaborates with various teams to optimize sensor performance and integration.
Education and Expertise
Haris Sami holds a Bachelor of Electronics Engineering (BEE) from the National University of Sciences and Technology (NUST), completed between 2008 and 2012. He furthered his education with a Master of Engineering (MEng) in Electrical and Computer Engineering from Western University, which he completed in 2015. Additionally, he has earned two Nanodegrees from Udacity: an Intro to Self-Driving Cars Nanodegree in 2019 and a Self-Driving Car Engineer Nanodegree in 2021. His educational background supports his specialization in robot localization, path planning, and advanced programming skills in Python, C++, and Keras (TensorFlow).
Previous Work Experience
Before joining LeddarTech, Haris Sami worked at Aztec Electrical Supply Inc. in various roles. He served as a Sales Engineer (Technical Sales Associate) from 2016 to 2019, where he focused on technical sales in the Toronto, Canada Area. Following this, he transitioned to a position in Technical Product Marketing and E-commerce at the same company from 2019 to 2021. Earlier in his career, he gained experience as a Laboratory Assistant at Western University in 2015, where he supported engineering projects.
Technical Skills and Specializations
Haris Sami specializes in computer vision and deep neural networks, which are critical components in the development of autonomous vehicle systems. His expertise includes implementing core functionalities related to perception, planning, and control within these systems. He possesses strong skills in robot localization and path planning, enabling him to contribute effectively to projects in the field of advanced driver-assistance systems (ADAS). His programming proficiency in Python, C++, and Keras (TensorFlow) further enhances his capability to develop innovative solutions in sensor technology.