Professional Summary
Rigorous Technical Specialist & Logic Evaluator with extensive hands-on experience designing, verifying, and stress-testing mathematical models, algorithmic calculation engines, and interactive web tools. Highly skilled in LLM evaluation, RLHF rubric scoring, hallucination detection, prompt adherence, and multi-turn reasoning analysis. Proven ability to evaluate code for syntax and edge cases, audit quantitative data for precision, and author structured, unambiguous step-by-step rationales to train high-performing AI models.
Core Competencies & Technical Skills
AI Training & RLHF Evaluation: Model Response Ranking, Rubric Adherence, Hallucination Detection, Red-Teaming, Chain-of-Thought Verification, Prompt Engineering, Fact-Checking.
Code & Logic Auditing: JavaScript (ES6+), Python, HTML5, CSS3, JSON Schema, REST APIs, Edge Debugging, Syntax Validation, Error Boundary Testing.
Quantitative & Math Reasoning: Algorithmic Verification, Multi-Step Financial Modeling, Floating-Point Precision, Complex Formula Stress-Testing, Edge-Case Audits.
Instructional Clarity & QA: Technical Writing, Ground-Truth Documentation, Structured Schema (JSON-LD), Detailed Rationale Authoring, Data Accuracy QA.
Relevant Experience & Projects
- Algorithmic & Logic Verification: Architected and deployed 530+ interactive mathematical calculation engines across financial modeling, engineering takeoff, and commercial metrics; conducted comprehensive multi-turn audits ensuring zero floating-point drift, division-by-zero safeguards, and exact edge-case handling.
- LLM & Prompt Response Tuning: Structured natural-language prompt templates and automated programmatic evaluation scripts to generate high-precision JSON-LD schemas and FAQ outputs adhering strictly to semantic and factual constraints.
- Ground-Truth Documentation & Step-by-Step Rationales: Authored in-depth technical walkthroughs and explanatory tooltips across hundreds of complex calculation domains, detailing multi-step math derivations to ensure absolute transparency and zero ambiguity.
- Automated Data Pipelines & Error Catching: Engineered data transformation scripts and live API webhooks on Cloudflare Pages edge; audited system payloads for runtime anomalies and logical inconsistencies under high concurrency.
- Data Validation & Quality Assurance: Evaluated complex datasets, web scripts, and structured spreadsheets against stringent client guidelines; identified subtle syntax bugs, logical contradictions, and edge-case exceptions.
- Fact-Checking & Content Verification: Audited technical guides, research summaries, and operational workflows for factual integrity, verifying claims against primary documentation and authoritative reference standards.
- Analytical Feedback & Rationale Writing: Composed clear, structured explanations detailing why specific outputs failed quality standards, providing actionable remediation steps and rubric-aligned scoring criteria.
- Interactive Form & Logic Design: Collaborated with businesses to build structured intake questionnaires, calculation logic, and automated responsive web workflows.
- Cross-Platform Compatibility & QA: Performed thorough exploratory testing across devices and browsers to isolate edge-case layout breaks, performance bottlenecks, and user interaction flaws.
Education & Continuous Professional Development
Specialized focus in Applied JavaScript/Python Logic, LLM Evaluation Rubrics & RLHF Principles, Algorithmic Edge-Case Handling, and Structured Data Schemas.