Stanley Uzum

Hi there, I’m Stanley Ekene Uzum. I am currently serving as a Research Assistant at University of Roehampton London, United Kingdom. I am passionate Data Scientist , AI and ML/MLOps Engineer. I thrive at the intersection of AI, machine learning, data engineering, and intelligent systems, with a mission to turn data into real-world impact.

I hold a BSc in Mathematics and an MSc in Data Science (Distinction), where I graduated as the best-performing student in my cohort 2024. My academic foundation has shaped my analytical thinking and fuels my curiosity to solve complex problems with data-driven solutions.

I’ve architected and deployed end-to-end AI systemsfrom traffic forecasting models and global energy analytics to AI-driven fraud detection and AI Systems. My work blends precision with practical impact, and I enjoy bridging research with real-world deployment.

🔧 Core Expertise:

Machine Learning & AI.

MLOps & Deployment: Streamlit, FastAPI, Docker, Vertex AI, GCP, AWS, AZURE.

Data Engineering: ETL Pipelines.

Cloud Platforms: Google Cloud Platform (GCP), AWS, AZURE.

Languages & Tools: Python, Jupyter, SQL, POSTGRESQL, NODE.JS, JAVASCRIPT, JAVA, C,C##, GOLang, MATHLAB, TYPESCRIPT.

When I’m not coding or experimenting with new models, I contribute to open-source projects, write about applied AI, and engage with communities that care about building meaningful AI, data, and impactin tech.