I build systems that sit at the intersection of AI and the real world — full-stack applications, data pipelines, and human feedback loops that make AI models more useful, safe, and grounded.\n\nI am a MERN stack developer and AI data evaluator who does two things most engineers do separately: ship responsive web applications end-to-end, and work directly on the quality layer of AI systems—evaluating LLM outputs for safety, helpfulness, and factuality. I combine build and evaluation to close the gap between model output and real-world needs, enabling Forward Deployed, Applied AI, and Developer Advocate work that moves projects from concept to measurable impact.
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