Amir Mohammed

I’m a Machine Learning Engineer & Data Analyst with 3+ years of experience delivering AI/ML pipelines, NLP systems, and BI dashboards for global clients across the US/EU. I specialize in bilingual NLP (Arabic–English), RLHF preference ranking and evaluation, and scalable backend architectures that hold up in production. I’m particularly proud of turning multilingual complexity into reliable, measurable model performance.

In my freelance work, I architected a bilingual NLP sentiment classification pipeline (Arabic–English) that reduced error rates through optimized preprocessing. I also built a real-time enterprise ingestion engine using FastAPI, SQLModel, Docker, and PostgreSQL, designed with decoupled microservices for reliability and scalability. These systems were built to ingest continuously while keeping the ML workflow dependable.

I deployed an analytics solution that parsed UK job market ML postings and visualized demand trends using Python + SQL. I delivered BI dashboards with Power BI/Tableau that improved reporting efficiency by 30%, helping stakeholders move faster with clearer KPI dashboards. For AI evaluation, I conducted RLHF preference ranking on multilingual datasets while ensuring cultural and linguistic accuracy.

I bring strong engineering discipline—advanced OOP in Python, robust SQL (CTEs/window functions), and production-minded tooling—to every project. I’m actively seeking remote or relocation opportunities worldwide in AI, Data Science, and NLP where I can build, evaluate, and ship impactful multilingual ML products.