Prompt Engineering & Tuning
System prompts, few-shot design, evaluation loops, model steering.
I craft prompts that make language models behave consistently and reliably — not tricks, but structured instructions that hold up under real-world conditions.
This means building evaluation loops to measure what actually works, designing guardrails that prevent failure modes, and tuning behavior across different models and use cases.
From system prompts for production agents to few-shot examples for classification tasks — every word is intentional.
System prompts
Production-grade instructions that guide model behavior precisely
Evaluation loops
Automated testing frameworks to measure prompt quality
Guardrails
Safety boundaries and output validation for reliable results
Behavior tuning
Cross-model calibration for consistent performance