My interest in mathematics and computer programming began early in life. I was particularly drawn to problem-solving and enjoyed competitions that challenged me to test and develop my skills. After completing my secondary education in Rajshahi, Bangladesh, I learned my first programming language, C, and in 2004 built a simple Tic-Tac-Toe game using the Turbo C compiler. That small project marked the beginning of a lasting interest in programming and computational problem-solving.

Around the same time, I discovered the Mathematical Olympiad movement in Bangladesh and eagerly began participating. Over the following years, I competed in several regional and national mathematics and programming Olympiads. I was selected twice for the National Math Camp in Dhaka, which was part of the selection and training process for representing Bangladesh at the International Mathematical Olympiad (IMO).

In 2007, I received a Bronze Medal in the Asian Pacific Mathematics Olympiad (APMO), during the first year Bangladesh participated in the competition. At the time, Bangladesh participated as an associate member, with results evaluated locally. For me, it was both a memorable personal achievement and an opportunity to be part of the early years of Bangladesh's growing presence in international mathematics competitions.

Looking back, these experiences played an important role in shaping my interest in analytical thinking, programming, and scientific research. It has also been deeply rewarding to see how far Bangladesh has progressed in mathematics Olympiads and international competitions since those early years.

My programming skills in C and C++ continued to grow during my undergraduate studies at the Bangladesh University of Engineering and Technology (BUET). In my first semester, I ranked among the top five performers out of 180 students in the Computer Programming course. As an electrical engineering student, I also became proficient in MATLAB through coursework and projects involving numerical methods, signal processing, and physics. Beyond the classroom, I explored embedded systems and built microcontroller-based circuits through personal projects, which further strengthened my interest in combining hardware, software, and engineering problem-solving.

After graduating from BUET, I spent seven years in the software and telecommunications industries in Bangladesh, working across three organizations. From 2012 to 2015, I worked at Samsung R&D Institute Bangladesh (SRBD), a subsidiary of Samsung Electronics, where I gained hands-on experience in Java programming and Android application development. During my time at Samsung, I earned an “Advanced” rank in the company's internal software certification examination, which recognized proficiency in programming and algorithmic problem-solving.

I later transitioned into the telecommunications sector, working at SSD-Tech and subsequently at Bangladesh Telecommunications Company Limited (BTCL). These roles broadened my technical background beyond software development and gave me practical experience in IP networking, routing and switching, fiber-optic transmission, and technical project management.

My professional experience in Bangladesh provided a strong foundation for the next stage of my career in research. In Spring 2020, I joined Oklahoma State University (OSU) as a Ph.D. student in Electrical Engineering and a teaching assistant, completing my degree in December 2023. As a member of the OSU Wireless Laboratory, I conducted research at the intersection of wireless sensing, signal processing, and machine learning. During my doctoral studies, I expanded my programming background into Python and the broader machine learning ecosystem, working with libraries and frameworks such as Scikit-learn and TensorFlow in both coursework and research. I also continued working extensively with MATLAB, particularly for image processing and computer vision projects.

After completing my Ph.D., I joined the University of North Carolina at Chapel Hill as a Postdoctoral Research Associate, where I transitioned into artificial intelligence and medical image analysis. This experience allowed me to apply my engineering, programming, and machine learning background to biomedical problems and marked an important shift in my research toward healthcare applications.

In Summer 2025, I joined the Department of Radiology at UT Southwestern Medical Center as a Research Instructor in the Division of Nuclear Medicine. My current research builds on this multidisciplinary journey, with a focus on artificial intelligence, quantitative image analysis, and machine learning for nuclear medicine and molecular imaging, particularly PSMA-PET imaging and its applications in cancer.