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Ali Habibullah
Research Engineer at KAUST.
I bridge the gap between Generative AI theory and scalable software reality.
About Me
Currently, I lead national-scale technical teaching programs and I also do deep learning research at KAUST. Whether it's fine-tuning LLMs for Arabic dialects or architecting country-wide smart city solutions,
4.98
GPA
400+
Students Mentored
Tech Stack
Python
PyTorch
Tensorflow
Django
MySQL
Git
Laravel
Unity
Featured Research
Vote-in-Context: Turning VLMs into Zero-Shot Rank Fusers
We introduce Vote-in-Context (ViC), a generalized, training-free framework that re-thinks list-wise reranking and fusion as a zero-shot reasoning task for a Vision-Language Model (VLM).
Experience History
Research Engineer
KAUST | Thuwal, KSA
Leading high-impact research and training programs.
- Supervised 400+ students in CV, GenAI, RL, and NLP.
- Managed KAUST Academy AI Program (30,000+ applicants).
Software Developer
Lyrae Digital | Jeddah, KSA
Full-stack development and product management.
- Scaled JIRA operations, increasing efficiency by 35%.
- Core developer for GA_Universe Low-code platform.
Teaching Assistant
KAUST | Hybrid
- Head TA for AI track, instructing 500+ students in Deep Learning (PyTorch).
Intern
KAU HPC Center
- Led the AZIZ account request feature development, integrating email alerts, attachment processing, and tracking request history.
- Resolved critical issues in the admin dashboard and other sections.
Selected Work
Royal Defenders
Real-time evaluation of BFS, UCS, and A* pathfinding algorithms in a 3D tower defense environment.
EN-AR Translator
Neural Machine Translation model trained on CCMatrix dataset using Transformer architecture.
Review IT
Interactive media review platform featuring user ratings, trailer integration, and social features.
Initialize Handshake
I am currently open to research collaborations and senior engineering roles.