Summary
Mariana Lungu is a founder and data architect with a decade of experience building auditable, high-throughput data systems for federal immigration and compliance use cases. She led data modernization efforts that moved millions of records daily, cut costs with serverless migrations, and delivered certified datasets that halved regulatory reporting times. At Archetype Core she designs practical AI and RAG architectures—recently implementing an audit-ready Bedrock/pgvector/FastAPI pipeline for traceable retrieval against dense federal policy texts. Her background spans hands-on ETL, DevSecOps, and production incident leadership, with measurable improvements in accuracy, query performance, and mean time to resolution. Beyond engineering, she runs a creative studio focused on sculpture and painting, reflecting a practice-driven approach to materials and systems thinking. Based in the DC–Baltimore area, she combines federal domain expertise with entrepreneurial productization of robust, compliant data platforms.
10 years of coding experience
7 years of employment as a software developer
Wed Development Immersive, Computer Software Engineering, Wed Development Immersive, Computer Software Engineering at General Assembly
Bachelor's degree, Information Technology, Bachelor's degree, Information Technology at The George Washington University
Master's degree, Information Technology, Master's degree, Information Technology at The George Washington University School of Business
Romanian