AI architecture, agentic systems, and neuro-symbolic design. I help teams ship reliable, auditable AI — where the model is powerful and the harness makes it trustworthy.
From architecture to deployment — hybrid systems designed for reliability, not demos.
Design the full pipeline: LLM orchestration, tool routing, state management, validators, and scoring loops. The harness that makes models production-ready.
Bridge neural inference with explicit logic: knowledge graphs, constraint validators, symbolic postprocessing. Reduce hallucinations, increase auditability.
Translate complex AI concepts into clear, structured documentation. Research briefs, architecture specs, glossaries, and technical position papers.
Production frontends and backends. Interactive data visualizations, dashboards, APIs, and tooling. Clean code, tested, deployed.
I treat every AI system as a hybrid pipeline with clearly separated concerns. The model handles interpretation and generation. Everything else — routing, validation, state, memory, scoring — is explicit, deterministic, and auditable.
This isn't theoretical. It's the same architecture pattern behind every production agent that actually works, from Claude Code's leaked orchestration kernel to enterprise composite AI systems.
Logic adds a level of confidence that inference alone will never achieve.
I write in implementable components first: state model, router loop, tool contracts, validators, memory graph, eval hooks. Then optionally map the above to "neurosymbolic." Precision ships.
Hypothesis generation, intent understanding, natural language glue — not source of truth.
Same inputs + same state = same plan. Tool selection and sequencing with transactional semantics.
Entities, relationships, prior runs. Structured retrieval that goes beyond vector similarity.
Constraints, type checks, safety bounds. Independent of the model — pass or block.
Evaluate, revise, retry, backtrack. Iterative loops with transactional guarantees.
I'm available for freelance architecture work, consulting engagements, and research collaborations.