I help organizations go from AI curiosity to production value. Whether you need a strategic assessment, a working prototype, or a production system, I bring the rare combination of academic depth and engineering pragmatism.
Schedule a ConversationWhat I Do
Knowledge Architecture & Semantic Systems Ontology design, taxonomy development, and knowledge graph construction that give your organization a structured foundation for AI. From entity modeling to graph-based analytics, I help teams move beyond flat data toward connected, semantic representations that compound in value.
LLM & Generative AI System Design Architecture and implementation of RAG pipelines, agent systems, and LLM-powered workflows, including graph-enhanced retrieval that grounds generation in structured domain knowledge rather than raw text alone.
Custom ML Model Development End-to-end model lifecycle: problem framing, data strategy, training, evaluation, and deployment. Specializing in NLP, graph neural networks, information retrieval, and classification.
Rapid Prototyping & POC Development Narrow vertical-slice proofs of concept delivered on short timelines. Get a working demonstration in front of stakeholders fast, then iterate.
Technical Training & Workshops Making ML/AI accessible to non-technical teams. Drawing on years of university teaching (PhD-level ML, Python, GIS) and industry presentations at FactSet Developer Days and with defense partners.
How I Work
Many clients come with only a basic understanding of what ML can do for them. I start by understanding your actual problem, not the technology you think you need. From there:
- Problem framing. Define what success looks like in measurable terms
- Feasibility assessment. Honest evaluation of what ML can and cannot do for your use case
- Rapid prototype. Working demonstration, typically in 2-4 weeks
- Production path. Architecture, deployment, and handoff to your team
Who I Work With
- Startups needing ML capabilities without a full ML team
- NGOs and research organizations needing data science and geospatial expertise
- Enterprise teams seeking external perspective on AI strategy
- Political campaigns needing data-driven analysis