I am a developer dedicated to making machine learning accessible through intuitive cloud solutions. I specialize in architecting ML-driven applications that combine powerful backend capabilities with user-friendly interfaces. My expertise spans the full development lifecycle—from exploratory data analysis and advanced modeling using frameworks like XGBoost in Jupyter Notebook, to seamless production deployments leveraging Docker and Kubernetes. Additionally, I can handle scaling solutions to Azure, with a particular focus on creating secure, efficient, and ethical ML systems that prioritize accessibility and fairness. Beyond coding, I enjoy yoga, bicycling, and building custom PCs.