Robotics Software Developer

• Jul 2023 - Present

Graduate Teaching Assistant

• Aug 2021 - May 2023

ENPM808Y : Artificial Intelligence and Machine Learning (Spring 2023) MATH240 : Linear Algebra (Fall 2022) ENME202 : Computing Fundamentals ( C++ ) Spring 2022 MATH461 : Applied Linear Algebra (Fall 2021) ENPM808Y : Artificial Intelligence and Machine Learning (Spring 2023) MATH240 : Linear Algebra (Fall 2022) ENME202 : Computing Fundamentals ( C++ ) Spring 2022 MATH461 : Applied Linear Algebra (Fall 2021)

Computer Vision Engineer

• Jun 2022 - Aug 2022

• Developing integrated ADAS systems for semi tractor‑trailer fleet vehicles with the goal of increased driver safety and efficiency by utilizing modern machine learning, artificial intelligence, and computer vision methods • Designed streamlined prototype ROS network for deployment on edge computing devices in conjunction with a sensor suite • Integrated, adapted, and evaluated state‑of‑the‑art neural networks for real‑time object detection and tracking from multiple camera feeds • Developed sensor fusion approaches to build a cohesive and analysable world model of the subject vehicle’s surroundings Show less

Graduate Research Assistant

• Mar 2022 - May 2022

Conducted research on computer vision problems, including 3D reconstruction , object detection and camera calibration for automated crab meat removal. Developed a custom optical line scanning laser system for 3D depth reconstruction of crabs. Conducted research on computer vision problems, including 3D reconstruction , object detection and camera calibration for automated crab meat removal. Developed a custom optical line scanning laser system for 3D depth reconstruction of crabs.

Robotics Engineer

• Dec 2018 - Mar 2021

• Designed and developed innovative robotic system solutions for various projects, ranging from vision-based quality control systems to autonomous ground vehicle systems. • Developed an end-to-end Computer-Aided Detection system in PyTorch for tire defect detection using Mask R-CNN, achieving 88.86% average precision and 82.14% Jaccard Index on a custom dataset. • Contributed to a cross-functional project showcasing a streamlined pallet movement pipeline, including Gazebo simulation environment design, LiDAR-based path planning for autonomous UGVs (Unmanned Ground Vehicles), and development of a simulated UGV model. • Conducted integration and unit testing to ensure seamless system functionality, collaborating closely with cross-functional teams to identify and resolve any issues that arose. Skills: Python,C++, TensorFlow, Keras, OpenCV,PCL Show less

Research Associate Intern

• Jan 2018 - Jul 2018

Engineering Intern

• Jun 2017 - Jul 2017