I’m a data-driven software engineer focused on building ML-powered solutions that solve real-world business problems. I enjoy turning messy data into actionable insights with Python and .NET, and I love translating client needs into scalable web apps using C#, Blazor, Angular, and Vue.js. I work across the full stack from data pipelines to front-end interfaces, helping teams make AI-driven decisions in practical contexts.
In my spare time I automate workflows and experiments with Streamlit, AWS, and cloud databases like DynamoDB. I value clean code, rigorous testing (unit, end-to-end, and contract tests), and collaborative, cross-functional work. I’m always exploring new ML techniques and tooling to deliver robust, maintainable solutions.
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