Brian Gormanly

About Brian Gormanly

I build agentic AI systems that are graph-grounded, explainable, and production-ready. As Founder of Tributary Labs and a Senior Professional Lecturer at Marist, I blend product ownership with deep systems engineering—shipping reliable platforms that combine knowledge graphs, retrieval quality, and responsible AI.What I do • Architect & ship microservices/APIs, cloud-native pipelines, and LLMOps for real workloads (RAG/GraphRAG, agent orchestration). • Model retrieval & governance with identity awareness, provenance, and policy guardrails to minimize hallucinations. • Lead programs: own SOWs/roadmaps, coordinate vendors, and guide teams from prototype → production with measurable outcomes. • Mentor & teach AI engineering, robotics, and modern software practices; co-lead AI curriculum/lab initiatives.Recent work • Delivered 11 on-time SOW cycles for a multitenant middleware platform; rebuilt key integrations and improved reliability. • Built identity-aware, graph-grounded retrieval prototypes (GraphRAG, provenance, constrained decoding) for a digital-legacy platform. • Shipped AI-powered grading/evaluation workflows that process large cohorts quickly and return richer, earlier feedback to students. • Co-developing AI Engineering curriculum and lab initiatives to align industry practice with academic rigor.Focus Areas • Leadership: Director/Head of AI Engineering, Agentic/LLM Platforms, AI Product. • Hands-on: Principal/Lead AI Engineer, Principal Software Engineer (TypeScript/Python, Neo4j, RAG/GraphRAG).

Experience

1. Founder & Principal Architect

   Tributary

   Aug 2024 — Present · Hopewell Junction, NY, US

   Founded a mission-driven company building a trustworthy, agentic AI platform that preserves meaningful life stories and connections. Leveraging new techniques in AI Systems to build solutions for problems of authenticity, provenance, and permanence. • Own product strategy/roadmap; align safety, privacy, and compliance-by-design. • Architect GraphRAG + identity-aware retrieval; provenance tracking; evaluation harnesses. • Stand up CI/CD and LLMOps for rapid iteration with measurable quality gates. • Stack: TypeScript/Python, Angular, Neo4j, Postgres/pgvector, LangGraph/LangChain, OpenAI/Anthropic/Ollama, Docker.

Education

• Marist University

  Masters of Computer Science, Computer Science

  2011 — 2013

• Mount Saint Mary College

  Bachelor of Science, Computer Science

  2004 — 2007

Skills

• Liferay
• Android
• Java
• Oracle
• Mysql
• C#
• Javascript
• Php
• Nosql
• Tomcat
• Xml
• Ajax
• Subversion
• Linux
• Web Services
• Hibernate
• Os X
• Eclipse
• Spring
• Jsp
• Sql
• Css
• Microsoft Sql Server
• Soap
• Databases
• Cascading Style Sheets (Css)