I’m a Machine Learning Engineer and Data Scientist based in London, with an MSc in Big Data Analytics and 4+ years of professional software engineering experience. I build end-to-end predictive systems in Python—starting from data cleaning and exploratory analysis, through feature engineering and imbalance handling, to model selection and evaluation—then deploy them as production-ready services.
I recently worked on a multi-disease clinical risk prediction system that serves scikit-learn and XGBoost models via a FastAPI backend on AWS EC2, and I’ve also built stroke risk modelling work using NHS patient data. I enjoy bridging ML and real-world engineering: containerized APIs, reproducible pipelines, CI/CD discipline, and reliable releases—along with communicating technical ideas clearly to non-technical stakeholders.
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