Muhammad Ali Nasir / ML Engineer
I build the parts of AI that still work after the demo ends.
Every decision documented, every trade-off shown.
I make complex systems
easier to inspect.
easier to inspect.
07systems shipped
01publication under review
01open-source PyPI package
∞questions welcome
01 / Selected work
Systems built for real constraints.
From causal pricing to self-hosted inference, these projects are about making intelligent systems useful outside the notebook.
02 / Research
LightUHope
First author · Under review at Springer
A lightweight transformer for four-class Urdu hope-speech classification, built around a 24,124-sample dataset and interpretable feature analysis.
0.92macro F1
3.2Mparameters
97%fewer than mBERT
03 / Education
Training behind the systems.
BS Computer and Information Sciences
Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad
3.44/4.0CGPA
96.7thNSCT percentile
2026graduated
04 / Contact