Name:Ahmed Fasseh

Bio:

I build things that actually work in production, from fine-tuning transformer models to shipping distributed backend systems. I work at the intersection of AI engineering and software systems, with a focus on making ML models more efficient and deployable. My research led to TraCC, a knowledge distillation-based system for code comment classification, accepted at NLBSE 2026 @ ICSE. When I’m not training models, I’m usually building full-stack apps or figuring out how to make AI agents do useful things.

Country:Pakistan

Affiliation:National University of Computer & emerging Sciences (FAST-NUCES)

Research interests:Machine Learning, Natural Language Processing, Agentic AI, Retrieval-Augmented Generation, Generative AI