
I am a highly driven graduate in electronics and communication engineering with a profound interest in embedded systems, AI, ML, and VR. Currently pursuing my MS in Electrical Engineering in the USA, I have explored the intersection of machine learning and self-driving cars. In my role as a Research Assistant under Dr. Tao Han, I lead the development of an advanced VR180 Format 3D Video System. I actively employ the NVIDIA Jetson Nano and ArduCam CSI cameras to set up VR180 devices, and I am also exploring the incorporation of Meta's eye-tracking feature into my project. My expertise encompasses tech integration, camera optimization with ArduCam CSI cameras, innovative design using 3D printing, and collaborative development. Proficient in Python and adept at leveraging OpenCV and Jetson Nano devices, I am immersed in researching open-source projects and implementing solutions to push the boundaries of real-time 3D video processing.
I am deeply passionate about translating theoretical knowledge into practical applications, contributing to the progress of VR technology and 3D video processing. Keen to apply my skills and enthusiasm, I am excited about the prospect of contributing to innovative projects within an electronics hardware/software internship, especially in a dynamic and forward-thinking company.
As a vital member of Dr. Tao Han's research team, I played a central role in the development of an innovative VR180 format 3D video system, pushing the boundaries of real-time 3D video processing within the virtual reality domain.
Key Contributions:
Technical Skills:
3D Printing | Virtual Reality (VR) | Computer Vision | OpenCV | Object Detection | Eye Tracking | Applied Machine Learning | Python (Programming Language)
This role not only allowed me to apply and broaden my technical expertise in VR technology and 3D video processing but also made a significant contribution to a groundbreaking project in the field of virtual reality
First Prize in Technical PPT - ADSOPHOS 2019: