// PhD Researcher · Software Engineer
Building intelligent systems at the intersection of software engineering and machine learning. PhD student at Polytechnique Montréal, working on scalable AI applications.
About
I'm a PhD student in Computer Engineering at Polytechnique Montréal, at the Software Emerging Technologies (SæT) Lab under the supervison of Dr. Mohammed Hamdaqa. I completed my MSc. in Applied Modeling & Quantitative Methods at Trent University, under the supervision of Dr. Quazi Rahman.
My research sits at the intersection of Artificial Intelligence and Software Engineering (AI4SE), with a focus on harnessing Large Language Models (LLMs) to augment and automate core SE tasks. Currently, I'm investigating how LLMs can improve areas such as requirements engineering, code generation, and formal specification — with the broader goal of making software development more reliable, efficient, and accessible.
My work bridges rigorous research and practical engineering — from building EV charging platforms to designing AI-powered course recommenders!
Previously at EasyFits and EVDrop, I led backend development, optimized APIs, and deployed scalable cloud services. I also spent four years as a Teaching Assistant at Trent University, helping students in learning Python, Java, and Linux workflows.
Education
Research
Predicting vehicle speed at critical road segments, such as pedestrian crossings during left-turn maneuvers at signalized intersections, is essential for improving traffic safety and supporting autonomous driving systems. This thesis presents a novel two-stage hybrid deep learning framework enhanced with reinforcement learning to forecast vehicle left-turn speed at pedestrian crossings.
Experience
EVDrop ↗ · Remote
EasyFits ↗ · Remote
Trent University · Peterborough, ON
Contact
Whether it's research collaboration, a project idea, or just a conversation — my inbox is open.