AI/ML Engineer building multi-agent systems, LLM-powered orchestration, and production-style applied AI. M.S. Computer Science, California State University Channel Islands. Active contributor to huggingface/agents-course.
Multi-Agent Power Grid Balancer — Hierarchical multi-agent system (LangGraph + LangSmith) balancing US power grid supply/demand using live EIA data. Local → regional → national coordinators mirror real grid topology; structured LLM output enforced via tool-calling, with a plain-code validation layer guaranteeing correctness. Multi-layer evals (rule-based harness, LangSmith dataset scoring, ground-truth vs. real interchange data) achieve 85% direction accuracy and 0.82 correlation against what the grid actually did. Production FastAPI service with caching, live React/Vite dashboard.
Kairos — Autonomous agentic AI system combining a PPO reinforcement learning agent with a classifier ensemble, running a closed decision loop with policy enforcement and risk controls. Event-driven pipeline (FastAPI, asyncio, Redis, PostgreSQL) with a live React dashboard.
AskMyDocs — Modular RAG application (OpenAI API, Pinecone, Sentence Transformers) for grounded document Q&A with citation-based answer generation.
OpenTutor — Open-source LLM study assistant with local inference (Hugging Face Transformers, PyTorch, Qwen2.5-0.5B-Instruct) and prompt-based task routing.

