Greetings and welcome to my GitHub profile!
Engineering intelligent systems and evaluating large language models for precision, bias, and reasoning depth. Strong focus on modular logic, prompt testing, and behavioral quality of AI outputs.
Focus areas:
- Scalable LLM pipelines
- AI pipelines optimized for traceable logic, modularity, and real-world execution.
- Human-machine interface tooling
- Output scoring breakdowns (LLM grading)
- Domain work (Logic, Ethics, Critique)
- Systems architecture & reasoning frameworks
Additional areas: numerical reasoning, logic optimization, UI/UX for intelligent systems.
Goal: streamlined, modular, and production-grade AI applications.
