- C
Curatus
Software Engineer, Analytics and AI
- Architected a LangGraph multi-agent system to automate mapping for millions of weekly health and provider records, achieving 96% data quality and virtually eliminating manual intervention.
- Developed a high-performance data scoring engine in C++ capable of evaluating billions of records daily, optimizing computational throughput for large-scale healthcare datasets.
- Re-engineered data pipelines to optimize storage architecture, reducing total database volume by 90% while maintaining 100% data fidelity and operational utility.
Software Engineer, Analytics and AI (Internship)
- Engineered a data scoring pipeline using Python, Pandas, and NumPy to compare and rank data, increasing customer data quality by 22.5%.
- L
Lawrence Livermore National Laboratory
Software Engineer, AI Engineer (Internship)
- Led a team of 3 engineers to develop a custom RAG system, reducing document search time from 2 hours to under 5 seconds, saving $2.86M annually.
- Engineered a serverless data ingestion pipeline using Docling, OpenAI GPT-4o-mini, and Qwen embeddings, increasing throughput by 40%.
- Improved retrieval accuracy by 35% through a novel contextual embedding strategy.
- B
Brigham Young University IT
Student IT Lead
- Led IT infrastructure upgrades for academic departments, including database server migration and optimization, resulting in 15% improvement in query performance.