Sumaira Portfolio - Work Experience

WORK EXPERIENCE

Position:
Robotic Software Research & Development Engineer

Company:
Creative Algorithms and Sensor Evolution Laboratory

Duration:
May 2021 - November 2023

From May 2021 to November 2023, I worked as a Robotic Software Research and Development Engineer at Creative Algorithms and Sensor Evolution Laboratory (CASELab), South Korea. My responsibilities were three-fold:

Developing AI vision-based perception models for robotic applications using deep learning,
Optimizing models for edge deployment, particularly on the NVIDIA Jetson Xavier NX platform,
Publishing research outcomes in SCIE-indexed journals, as well as international and national conferences and workshops.

Over the course of 2 years and 7 months at CASELab, I gained extensive industrial experience in deep learning-based perception for human-robot interaction (HRI). My work included projects such as:

Semantic perception for a service robots
Multi-floor robot navigation using elevator button recognition,
Human-following robot

During this time, I contributed to a wide range of computer vision and AI tasks—including object detection, classification, recognition, tracking, and segmentation—as well as face detection and recognition, gesture recognition, and voice command recognition, with a primary focus on robotic applications. I also worked on deploying these models efficiently on edge devices for real-time robotic perception.

Position:
Team Leader
(Infra Team/ Autonomous Driving)

Company:
Youngshin Co Ltd.

Duration:
December 2023 - Present

Since December 2023, I have been working as the Team Leader for Autonomous Driving project at Youngshin Corporation, South Korea. My key responsibilities include:

Developing AI-based vision and perception models for autonomous driving using deep learning,
Working on multi sensor fusion,
Designing and developing AI solutions in line with the company’s patent applications.

At Youngshin, I have further expanded my expertise sensor fusion, camera and LiDAR calibration, projection, 3D vision. These skills have been applied to real-world autonomous driving systems for object recognition and tracking, as well as lane generation and vehicle position estimation, enabling robust perception for intelligent navigation.

During my work in Youngin, I start to write blogs related to the new technologies that I experienced to work with for LiDAR and different types of cameras for sensor fusion based objects recognition and tracking in ADAS.