About Me: I am a Ph.D. student in Computer Science at the University of Montreal, working at the intersection of Software Engineering and Natural Language Processing. My research focuses on leveraging Large Language Models (LLMs) to automate and enhance complex software engineering tasks, particularly applying NLP techniques to systematic literature reviews. Prior to my Ph.D., I completed my M.Sc. in Software Engineering (NLP) and my B.Tech. in Computer Science. I am passionate about building intelligent tools that bridge the gap between AI capabilities and practical developer needs.

Impact: I have designed and built several open-source tools to assist in research and development:

• PromptSLR: A framework to conduct and analyze experiments related to Prompt Engineering for Systematic Literature Reviews.
• ReLiS: A collaborative platform for Systematic Literature Reviews. I led the migration of its backend service from WSGI to ASGI, optimizing performance and reducing the codebase by ~90%.
• Chithi: A streamlined solution for bulk email communication with real-time preview and markdown support.
• Butterfly: A mobile application developed with Flutter to assist users in managing mental health challenges.

Other Facts:
My academic journey has been supported by multiple prestigious awards, including the Mitacs Globalink Graduate Fellowship ($15,000) and the Bourse de fin d’études de maîtrise ($6,000). I have also received recognition from the Linux Foundation (twice) and a research grant from OpenAI. Beyond research, I am actively involved in the community as an organizer for the DIRO Hackathon (‘24 & ‘25) and served on the organizing committee for MODELS 2024.