Ethan Park

Optimizes prompts for faster response times while balancing quality requirements.

Limits chain-of-thought reasoning scope to prevent tangents and ensure focused problem-solving.

Analyzes learning curves from reflection iterations to identify improvement phases and saturation.

Monitors progress of decomposed task execution with delay detection and completion projections.

Calibrates role persona vocabulary to match claimed expertise without overclaiming or underclaiming.

Handles outlier responses in self-consistency sets with statistical detection and reasoned inclusion decisions.

Assesses and ranks tree-of-thought solution quality using weighted multi-criteria evaluation.

Implements bias mitigation in prompts with perspective balancing and fairness checking.

Builds modular prompt component libraries with standardized interfaces and composition rules.

Builds frameworks for testing hypotheses within chain-of-thought reasoning with evidence criteria.

Learns ranking criteria from ordered examples to create reproducible scoring models.

Builds zero-shot named entity recognition prompts with configurable entity types and patterns.