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I'm Anas Elrahmani, a Computer Science student at Qatar University, graduating in 2027. I focus on AI and machine learning, not just training models, but understanding what it actually takes to make them work on real problems. The part that interests me most is where research has to become something that actually ships, where getting the engineering right matters just as much as getting the math right.
At Hamad Bin Khalifa University, I fine tuned and benchmarked multimodal vision language models like DeepSeek VL and Qwen2 VL, achieving 15% higher accuracy and 30% faster inference. At Samsung Innovation Campus, I built an LSTM based fake news classifier that reached 98.75% accuracy across 40,000+ articles. I'm also AWS AI Practitioner certified, with hands on experience deploying generative AI solutions on AWS.
A model that works in a notebook is not a product. I care about the gap between the two: inference speed, real world reliability, and whether what you built actually helps someone. If you're working on something where the research and the product are equally hard to get right, I'd like to hear about it.


