Muhammed Ashil

I’m a Computer Science student specializing in Machine Learning, Deep Learning, and AI systems, with hands-on experience building end-to-end ML applications, predictive models, and LLM-powered solutions. I focus on turning AI concepts into scalable, real-world software, with a strong foundation in Python, algorithms, and data structures.

Through freelance work and projects, I’ve shipped full-stack and AI-driven products—integrating RAG pipelines and LLMs (including IBM Granite LLM) to deliver context-aware insights, and deploying practical ML apps with reliable evaluation. I’ve also earned recognition like 2nd Place in the Mental Health Track at the IBM Mindscape Hackathon and finalist placements at Hackfest and HackXpo.