I am a Junior ML/AI Engineer and AI Engineering student at Ulster University (GPA: 4.0) with a deep focus on Generative AI and Large Language Models (LLMs). I specialize in bridging the gap between cutting-edge research and scalable production systems.
- 🔭 Current Focus: Developing an enhancement framework for ThinQA biomimicry prototyping at QEERI, utilizing Model Context Protocol (MCP) for autonomous 3D geometry generation.
- ⚗️ Major Project: Founding Contributor of CatFORGE, an end-to-end AI platform for catalyst discovery using GANs and Reinforcement Learning.
- 🌱 Learning: Deepening my expertise in MLOps (ZenML) and Advanced LLM Fine-tuning.
- 💬 Ask me about: Synthetic data generation, 3D mesh optimization, and building responsive AI-driven web architectures.
| Category | Tools & Technologies |
|---|---|
| Languages |     |
| AI / ML |     |
| Frameworks |    |
| DevOps & Cloud |     |
The Future of Catalyst Discovery & Optimization Developed during my tenure at QCRI
CatFORGE addresses the "Small Data" bottleneck in materials science by leveraging:
- Synthetic Data: GAN-based architectures to augment sparse experimental datasets.
- Pareto Optimization: Multi-objective RL to balance catalytic efficiency vs. material cost.
- Explainability: Integrated SHAP/LIME components for model interpretability.
- Architecture: Full-stack implementation using Python/Flask, React, and Firebase.
"Transforming research from trial-and-error into a precise, data-driven engineering discipline."