Musfiqur Rahman

I am a PhD Candidate in Software Engineering at Concordia University’s DAS Lab, supervised by Prof. Emad Shihab. My thesis, “Large Language Models in Coding: Generation, Detection, and Repair,” investigates how LLMs generate code, how to detect it, and how to repair it. This work includes SIEVE, a live contamination-aware corpus builder for LLM-generated code, and OpenClassGen, a large-scale dataset of LLM-generated Python classes published at EASE 2026. Before my PhD, I worked as an AI Engineer at Pentavere and as Lead Data Science Instructor at General Assembly, giving me hands-on experience applying machine learning in industry and teaching it to others.

When I am not coding (usually in Python) or writing, you might find me chasing after my three-year-old. You can also often spot me exploring the streets of Toronto and Montreal, camera in hand. Other times, I’m likely at a cozy café with my beautiful wife, taking a break from the joys and exhaustion of parenting, though we usually end up talking about our little one. If I’m alone, I might be at that same café, daydreaming about a pilgrimage to Mecca and Medina or a future culinary adventure in Japan with my family.