By Nicholas Conenna Applied AI Engineer building production-oriented LLM systems.
Focus: Multi-model LLM orchestration Structured output normalization Evaluation frameworks for reliability Backend inference architecture (FastAPI in progress) Human + AI coordination systems
Current Project: YSKAIPE AI-managed small-group coordination system (live waitlist mode) Architecture includes: Next.js frontend (Vercel) Multi-model LLM integration (OpenAI, Anthropic, Grok) Backend inference layer (FastAPI deployment in progress) Structured output pipelines Reliability-first evaluation direction Engineering Direction
I treat LLMs as probabilistic components inside deterministic systems. Current focus: Guardrails Failure analysis Drift reduction Evaluation before scale