Jerry Nguyen

About Jerry Nguyen

I\'m a systems engineer and architect focused on building intelligent tools that reflect how people actually think, learn, and remember. I don\'t just build software — I structure meaning. My work sits at the intersection of unstructured data, temporal reasoning, and semantic memory: systems that don\'t just store information but understand how it connects, evolves, and matters over time. I spent 15 years in energy data and analytics engineering — building large-scale pipelines, managing tens of millions of records, designing data models for executive audiences. That foundation taught me how to think about systems at scale. What I build now applies those instincts to AI-native architecture: containerized platforms that process documents, telemetry, and natural language into queryable intelligence layers using vector search, knowledge graphs, and time-series analytics. The through-line across everything I build: technology should serve human clarity. Whether that\'s an operator making sense of well data or a person making sense of their own thinking, the architecture problem is the same: surface the right information, in the right structure, at the right time. Open to collaborating with founders, investors, and technical teams working where AI, memory, and meaning intersect.

Experience

1. Chief Technology Officer

   Hewes Nguyen

   May 2022 — Present · Oklahoma City, OK, US

   Co-founded Hewes Nguyen to build AI infrastructure for energy, defense, law, education, and design/manufacturing.Our core work: modular, containerized platforms anchored by domain-specific knowledge architectures. In oil & gas, we\'re building conversational AI that synthesizes SCADA telemetry, well documents, and production data into asset-level intelligence — integrating edge AI, vector search, relational databases, knowledge graphs, and time-series analytics in a stack designed for operators, not data scientists.Our flagship open-source project, Corpus Intelligence, demonstrates the architecture pattern: a five-service microarchitecture (TypeScript MCP server, Python/FastAPI backends) orchestrating four storage engines — ChromaDB for vector search, Neo4j for knowledge graphs, SQLite for per-record analysis, and DuckDB for time-series analytics — coordinated by a gravity-based semantic orchestration model that replaces static tool routing with dynamic cosine-similarity activation across 22 specialized tools. Fully containerized, runs local or cloud, supports any AI provider with a MCP connector.I architect intelligence pipelines (GPU-accelerated OCR, table extraction, vector-based retrieval) and multi-backend orchestration layers. Open to conversations with founders, investors, and technical teams building AI for complex, high-stakes domains.

Education

• Oklahoma State University

  Bachelors of Science, Management Information Systems