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I build backend systems and agentic AI pipelines.
I move fast, own full cycles, and tend to automate whatever slows things down.
- Focus: Agentic AI, RAG pipelines, LLM orchestration, backend data systems
- Currently building: AI agents — local open-source models, cloud APIs, whatever fits the problem
- Education: BS Computer Science, University of Dallas — Magna Cum Laude, Phi Beta Kappa
- Competitive programming: LeetCode · Kattis
Optimizing clustering of CDR3 sequences using natural language processing, Word2Vec, and KMeans Frontiers in Bioinformatics, Vol. 5, 2025
OrientBench — Evaluation tool that measures how CSV layout affects LLM table-reading accuracy - try it out!
Anansi — LangGraph pipeline that quizzes you on your own wiki using extended thinking
Agentic File Explorer — ReAct agent that navigates and reasons over a file system via natural language
Talking Claude — Claude Code hook that reads out agent responses using Edge TTS.
AI Travel Agent — Hackathon runner-up: conversational flight search agent that parses intent from dialogue, queries Amadeus in real time via webhooks, and surfaces results with voice interaction
- Agentic systems that actually work reliably in production
- LLM and Agent evaluation
- Backend architecture for data-intensive applications


