Muhammed Abdulrasheed

I am a Machine Learning Engineer focused on taking ML solutions from development through to production with an emphasis on performance, reliability, and clean engineering. I have built and deployed NLP microservices, recommendation and ranking engines, and CPU-efficient transformer-based inference pipelines that meet strict latency and test-coverage targets.

My background includes end-to-end projects such as a high-throughput DistilBERT sentiment service, a weighted recommendation engine for cold-start handling, and applied research work including a diabetes risk prediction pipeline and data-driven policy-facing reports. I prioritize rigorous testing, modular architecture, and measurable business impact when moving models from notebooks to production.