I have extensive hands-on experience working with leading AI models including Grok, Claude, and ChatGPT, which has given
I have extensive hands-on experience working with leading AI models including Grok, Claude, and ChatGPT, which has given me strong skills in AI interaction, output evaluation, prompt engineering, and data analysis relevant to AI training and annotation work. Key experience areas: Prompt Engineering & AI Assisted Development: Built websites and web applications using Claude, ChatGPT, and Lovable. This involved crafting detailed prompts, iterating on AI-generated code/output, evaluating quality/accuracy, and refining results for production-ready digital products. Advanced Prompting for Digital Products: Specialized in ChatGPT prompt engineering to create and optimize digital products, including systematic testing of responses, comparison across models, and improving output consistency and usefulness. Data Analysis & Domain-Specific Evaluation: Used Grok and Claude extensively for data analysis on testing results and datasets from mining and geology. Tasks included cleaning/organizing data, identifying patterns/anomalies, generating insights, and validating AI interpretations against real-world technical data. General AI Evaluation & Problem Solving: Daily advanced usage across all three models for complex problem-solving, solution generation, critical evaluation of AI outputs, hallucination detection, and iterative refinement — skills directly transferable to RLHF, response ranking, red teaming, and data labeling/annotation tasks. This practical expertise in prompting, model evaluation, and domain-informed analysis (technical/geological data) allows me to deliver high-quality, accurate AI training contributions. I am comfortable with technical domains and multimodal/structured data tasks.