Phuwadol (Paul) Viroonluecha

Business Intelligence & Data Engineer | Data Scientist | AI Product Strategist

I design end-to-end data systems—ingestion, semantic modeling, and decision dashboards—that turn messy data into policy-grade insight. I’m currently a BI/Data Engineer contractor at California DHCS (Medi-Cal), modernizing legacy reporting into Power BI and setting Git/documentation standards for the BI branch. My background spans GenAI safety at Meta, capacity forecasting at LSEG/Refinitiv, and a Ph.D. focused on reinforcement learning for Type 1 Diabetes control. I care about clean models, trustworthy pipelines, and measurable impact.

Key contributions include:

• Medi-Cal oversight: Rebuilt aging reporting (originally 8+ years old) with a new data model and UX, cutting refresh friction and improving traceability.
• Network adequacy & compliance: Data validation for BHNA/MCNA/MCAS, strengthening policy decisions and audit readiness.
• Standards at scale: Authored Git + documentation templates that reduced BI rework and improved code reviews.
• Infrastructure planning (LSEG): Forecasting for data-center capacity and cloud migration, informing cost/risk decisions.
• GenAI safety (Meta): Model probing, bias/risk analysis, and policy alignment for generative features.

Core Stack

• Data/BI: SQL, Power BI (DAX/Modeling), Tableau, Git
• ML/AI: Python (pandas, scikit-learn), TensorFlow, XGBoost, Reinforcement Learning (research)
• Platforms: PostgreSQL, SQL Server, Hive/Hadoop; Azure/AWS (practical use)
• Ways of working: CI/CD, Agile/JIRA, data quality & governance

Quick Facts

• DoD Secret Clearance
• U.S. Army Reservist
• Community lead for a 14.1k-member Thai-language immigration group (“USA Green Card ย้ายไปทำงาน ไม่ต้องมี Job Offer”) and founder of “ASVAB for Thai.”
• EB2-NIW recipient

What I’m Looking For

Mission-driven teams that value rigorous data models, clear standards, and shipping BI/AI that measurably improves operations and policy.