Fiaz is a hardworking and ambitious individual with extensive experience in software development, system design, and applied machine learning. His aptitude to effectively communicate, and his unwavering technical curiosity allows him to excel in working with cross-functional teams in high-paced development environments. He is experienced in working with teams across the globe to develop & deploy production software. He has worked on industry’s leading hands-free autonomous driving technologies like SuperCruise and UltraCruise.
Fiaz’s academic, research, and industry experiences lies in Deep Learning, Computer Vision, Medical Imaging, IoT, Controls Systems, and full-stack software development. He has published his research paper on computer aided diagnostics in the SPIE International Journal for Medical Imaging.
Alongside his technical endeavours, Fiaz is passionate about leadership and community service. He was IEEE UTD President for 2 terms, spearheading a team of 50 officers and over 1200 members. He was also the regional student representative for IEEE Region 5 which included 12 Southwestern states in the US.
B.S. Computer Engineering, 2021
The University of Texas at Dallas
International A-Levels, 2016
Bangladesh International School & College
Responsibilities include:
Responsibilities include:
Responsibilities include:
Responsibilities include:
All Things are Difficult Before They Are Easy - Thomas Fuller
Built a completely autonomous robot for the IEEE Region 5 Robotics Competition. Developed the navigation system for the robot using ultrasound sensors and computer vision.
A system that allowed real-time tracking of a catheter inside the heart for replacing the Mitral Valve. We implemented routines for 3D reconstructions, image registration and catheter segmentation using deep learning.