
Transforming ideas into intelligent solutions through cutting-edge AI and machine learning. Passionate about teaching, research, and building the future of technology.
Total Experience
4y 1m 11d
( 5 Months Internship Included )
My research sits at the intersection of large language model efficiency, agentic reasoning architectures, and educational AI systems. I investigate how parameter-efficient fine-tuning methods and structured reasoning frameworks can democratise access to capable AI — particularly for resource-constrained educational environments.
I believe the most impactful AI research is not just published — it is implemented, explained, and shared openly. That conviction drives every Paper to Practice implementation, every deep-dive article, and every dataset I release.
Research Focus Areas
LLM Efficiency
LoRA, Quantisation, PEFT methods
Agentic AI Systems
Multi-agent reasoning, tool use
AI in Education
Accessible AI for learning environments