I’m a curious and results-driven machine learning engineer with 2+ years of experience evaluating AI-generated responses and building AI-driven solutions across Mathematics, Physics, Biology, and Chemistry. I thrive at the intersection of problem-solving, scientific computing, and statistical analysis, and I enjoy turning complex data into actionable insights while prioritizing privacy and secure data handling.
I build scalable ML systems and data pipelines, deploy models in cloud and containerized environments, and continuously improve evaluation methodologies with clear, explainable outcomes. I’m passionate about applying core ML techniques to real-world problems, from real-time inference to data infrastructure, and collaborating with cross-functional teams to deliver impactful solutions.
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