The intersection of engineering and research.

I'm a Machine Learning Engineer with 6+ years of production experience spanning classical ML, deep learning, and modern LLM systems. Most of my recent work is generative: multi-step agentic workflows, retrieval-augmented generation, and parameter-efficient fine-tuning — all of it running on MLOps pipelines I also own.

My focus is the unglamorous middle of the problem, where ML features actually succeed or fail: data quality, evaluation design, latency, cost, observability, and the operating model around the model. A demo that works once is not the same artefact as a service that works every time.

On the research side I've authored 7 peer-reviewed papers with 560+ citations and an h-index of 4, including a top-0.1% cited Computer Science paper on healthcare AI. I continue as a part-time researcher at the University of Sharjah, currently running controlled LLM adaptation studies on multi-GPU clusters. Read more on the research page.

I work best where the problem is genuinely hard and needs both a research mindset and engineering discipline — and I'm comfortable embedding with product, owning technical decisions, and mentoring.