AI • Data • Research

AI Model Training & Evaluation Specialist

Enterprise technology professional specializing in enterprise data, SQL development, business intelligence, data quality, and analytical problem-solving. Since 2023, I have expanded my expertise into generative AI through prompt engineering, custom GPT development, AI model evaluation, structured AI workflows, and AI-assisted research. My work focuses on improving AI response quality, validating information, evaluating model outputs, and applying analytical methodologies to support reliable, evidence-based outcomes.

Featured Areas

AI Model Training & Evaluation

Prompt engineering, AI response evaluation, custom GPT development, structured AI workflows, human-in-the-loop evaluation, information quality, AI-assisted research, and AI workflow optimization. 

Data & Analytics

Enterprise SQL development, business intelligence, reporting and analytics, data quality, metadata validation, decision-support systems, and analytical problem-solving.

Research & Publications

Published interdisciplinary research supported by Python scientific computing, observational analysis, structured evaluation methodologies, and public scientific datasets. My ORCID profile and 2025 CERN Zenodo research corpus document ongoing investigations into structured light phenomena and resonant field dynamics.

Citizen Science & Astronomy

Contributor to NASA-affiliated citizen science initiatives, AAVSO observations, ESA projects, Zooniverse image classification, satellite imagery, space telescope observations, photographic plates, and collaborative scientific research.

Current Focus

My current work centers on AI model training and evaluation, prompt engineering, AI-assisted research, and information quality. I design structured AI workflows, develop custom GPT applications, evaluate AI-generated responses, validate factual accuracy, identify inconsistencies, and iteratively refine prompts to improve model performance and reliability.

I also volunteer with a multi-branch public library system, where I conducted an independent evaluation of contemporary nonfiction collections using AI-assisted information evaluation and a structured, evidence-based methodology. This work included developing nonfiction acquisition recommendations, collection weeding guidance, metadata validation, bibliographic verification, and an executive decision-support report supporting collection development and long-term planning.

Although my independent science research culminated in a seven-paper publication corpus in 2025, the analytical methodologies developed throughout that work continue to inform my approach to AI evaluation, information quality, structured classification, evidence-based decision-making, and technical problem-solving.

Across every stage of my career, from enterprise technology and business intelligence to AI evaluation and scientific research, one principle has remained constant:

Transform complex information into accurate, reliable, and evidence-based knowledge.

Featured AI Projects

"Cosmic Quest Adventure": An interactive research game 

"Cosmic Weaver": An art assistant for visualizing a timeless, spatial universe
"Astro Light Explorer:" An expert-level astronomy research assistant