Professional Overview
Non-coding Advanced Prompt Engineer and AI Evaluator specializing in rule-based instruction architecture. I design robust prompting pipelines and behavioral guardrails to convert unpredictable LLM outputs into deterministic, stable text through rigorous multi-layered iteration cycles.
Experience
AI Expertise
Skills
Description of Responsibilities
- Designed advanced rule-based system prompts and text guardrails.
- Managed 80+ text iteration cycles to ensure stable LLM outputs.
- Audited AI responses to eliminate logical errors and hallucinations.
- Built structured prompt frameworks for precise verification workflows.
- Optimized prompt contexts and markdown tags for literal output formatting.
Key Achievements / KPIs
- Reduced AI hallucinations by 40% through strict rule-based guardrails.
- Optimized prompt contexts to save up to 25% in model token efficiency.
- Maintained a 95% adherence rate to guidelines across massive test cycles.
- Successfully executed 80+ iterative cycles for complex workflow prompts.
Education
Field of Study: General Studies
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
