AI engineer working the full lifecycle — from scraping raw data and fine-tuning LLMs to deploying on the edge and wrapping it all in a production backend.
Getting a model out of the notebook and into something people can actually use.
I work across the whole machine-learning lifecycle — from cleaning messy, scraped data to fine-tuning language models and running them on constrained edge hardware like the Jetson Nano.
Lately I’ve been building agentic and RAG systems: I fine-tuned Qwen 1.5B on a hand-curated dataset so it answers domain questions in a specific voice, and I stand these models up behind FastAPI backends with scraping and browser automation feeding them real data.
I also teach — I like breaking hard AI concepts down until they click, which keeps my own fundamentals sharp.
Grouped by where they show up in the pipeline.
From LLM fine-tuning to computer vision — a mix of shipped systems and deep-dive experiments.
Got a model to fine-tune, a RAG system to stand up, or an idea that needs to leave the notebook? I’m based in Dammam and happy to talk.