I build lightweight, high‑precision tools for AI evaluation, automation, and micro‑task workflows.
My engineering style is clean, minimal, and focused on producing reliable Python utilities that support reasoning analysis, RLHF pipelines, dataset labeling, and real‑time automation.
A suite of micro‑tools designed for clarity, consistency, and speed. Each tool is engineered to be lightweight, predictable, and easy to integrate into evaluation workflows:
Evaluates reasoning consistency and detects contradictions in structured responses.
Real‑time automation and event‑driven workflow processing.
Rubric‑based scoring for clarity, relevance, and structure in AI responses.
Runs small, repeatable automation tasks with simple logging and task routing.
Analyzes prompt clarity, specificity, and optional response quality.
Interactive text labeling with clean JSON export for dataset creation.
I specialize in building clean, lightweight Python tools for AI evaluation and automation. My engineering approach emphasizes reliable, minimal engineering that supports professional reasoning analysis and RLHF workflows.
- Python development for evaluation and automation
- AsyncIO‑based concurrency and WebSocket communication
- Micro‑task workflow tooling for RLHF environments
- Prompt, reasoning, and rubric‑based evaluation systems
- Dataset labeling utilities and JSON‑structured data pipelines
- Clean, minimal CLI tooling for professional workflows
- Python
- AsyncIO
- WebSockets
- JSON tooling
- CLI‑driven utilities
Brand: Catatonix
GitHub: https://github.com/ohiostatetee
Email: ohiostatetee@gmail.com