I am a full-stack engineer and Web Application Developer at Arizona State University's School of Computing and Augmented Intelligence (SCAI). With 9+ years of experience, I build robust, scalable applications and AI-powered solutions for higher education, HR, and research. I also founded AutomateFlows.io, delivering intelligent automation services for small businesses. Before ASU, I was a Software Engineer at an insurance tech company, designing solutions in fast-paced, data-driven environments.
My passions include agentic AI, automation, and bringing ideas to life with code. I work at the intersection of AI, cloud, and web — Python, C#, TypeScript, React, .NET, Azure AI Foundry, AWS — and lately I spend most of my time in agent infrastructure: MCP servers, multi-provider LLM routing, graph + vector memory, and serverless GPU inference.
- nano-harness — the smallest readable coding-agent loop that still scores on benchmarks: ~970 lines, 59.6% on Terminal-Bench 2.0
- Understand-Anything — turn any codebase into an interactive knowledge graph you can explore, search, and question; works with Claude Code, Codex, Cursor, Copilot, and Gemini CLI
- code-review-graph — local-first code intelligence graph for MCP and CLI, with benchmarked context reductions on reviews and large-repo workflows
- codeburn —
npx codeburn: interactive TUI dashboard for token usage and cost across Claude Code, Codex, Cursor, and 25+ AI tools - mnemosyne — zero-dependency, sub-millisecond memory system for AI agents
- Agent OS — multi-agent orchestrator on FastAPI + Python 3.12, with a multi-provider LLM router (Anthropic, OpenAI, Gemini, xAI, Ollama, Azure AI Foundry), episodic/reflective memory over Neo4j + Qdrant + Redis, its own MCP and A2A servers, and a React 19 dashboard with a Three.js knowledge-graph view
- useknockout — state-of-the-art background removal and image API on serverless L4 GPUs (Modal + FastAPI + PyTorch, BiRefNet & Swin2SR), shipped with published SDKs for Node, React, and CLI on npm, Python on PyPI, and a Tauri desktop app
- PeptideIQ — React + MUI Premium web app plus an Expo / React Native mobile app on Supabase (Postgres, RLS, auth)
- Job Nexus — React 19 with TanStack Router/Query/Table on Vercel serverless functions, Firebase auth, and Azure AI Foundry agents for resume tailoring and job extraction
- ATLAS — multi-agent business SaaS: FastAPI + SQLAlchemy + Alembic + PostgreSQL, React + Zustand + TanStack Query, containerized with Docker Compose
- Earlier work — Azure AI Foundry agents with Cosmos DB and RAG pipelines, an Agentic-RAG document intelligence platform on Azure AI Search, and student hiring & assignment systems (React, FastAPI, .NET, Azure)
I'm always exploring new ways to make technology more useful and accessible. Whether it's building production-grade APIs, deploying AI agents, or streamlining business processes, I'm happiest when I'm solving real-world problems.
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