Independent AI & Large Language Model (LLM) Application & Research
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I designed and refined structured prompts to improve output accuracy, reasoning depth, and contextual alignment in large language models. I evaluated AI-generated responses for factual correctness, logical consistency, bias, and clarity across technical and business domains. I applied iterative prompt engineering and compared model outputs against verified sources to assess reliability and improve task alignment. • Developed and tested structured prompts tailored to different task requirements
• Performed rubric-based analysis and scoring of LLM outputs
• Conducted hallucination detection and iterative corrections
• Validated reasoning, factuality, and contextual appropriateness
I designed and refined structured prompts to improve output accuracy, reasoning depth, and contextual alignment in large language models. I evaluated AI-generated responses for factual correctness, logical consistency, bias, and clarity across technical and business domains. I applied iterative prompt engineering and compared model outputs against verified sources to assess reliability and improve task alignment. • Developed and tested structured prompts tailored to different task requirements • Performed rubric-based analysis and scoring of LLM outputs • Conducted hallucination detection and iterative corrections • Validated reasoning, factuality, and contextual appropriateness
2022 - Present