I am a PhD Candidate in Electrical and Computer Engineering at Purdue University, working at the intersection of machine learning, computer vision, and signal processing. I am currently an AI/ML Intern at KLA Corporation, where I work on anomaly and defect detection for industrial vision data. Alongside my research, I have taught as a lecturer at BRAC University and BUET in Bangladesh, giving me strong communication and mentorship skills that carry over into technical collaboration. I'm proficient in Python, C/C++, and MATLAB, with working knowledge of Java and JavaScript. I'm drawn to solving problems in simpler, more intuitive ways, and I'm focused on applying machine learning to real-world impact — particularly in healthcare and human-centered systems.
Started my internship at KLA Corporation in Milpitas, CA in June 2026 as an AI/ML Intern.
Passed my PhD preliminary exam in December 2025.
Our paper titled "Machine Learning-Based Sex Estimation From Human Long Bone Diaphysis Fragments Using CT Scan Data" was accepted at the IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR) 2025.
Received the Masters Degree from Purdue University in Communications. Networking, Signal, and Image Processing.
Received best paper award in 2019 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON)
Achieved first prize in project competition in CSE fest 2019, BUET. Project title was "Automation of e-commerce"
Successfully completed IEEE SPS Winter School on Multimodal Signal Processing in 2019
Successfully completed Nuclear Technology Workshop provided as a part of joint training program between National Research Nuclear University "MePhi", Russian Federation and BUET, Bangladesh in 2018
Got enlisted in Dean’s Honor List, BUET in 2017