AI engineering portfolio

Forge

Systems built. Problems solved.

Production AI engineering: MCP infrastructure, multi-agent orchestration, and Rust systems. Available for contract work and advisory.

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Shipped systems, not slideware.

Three flagship projects. Each is a real system, in production, with real architecture decisions and measurable impact.

automaton

Graph-native automation substrate for AI agents

39 MCP tools. 8 Rust crates. Static musl binary (~14MB), zero runtime dependencies. Replaces shell scripts with a graph-based module where every automation unit is a self-contained node with typed inputs/outputs and a content-addressed build cache.

RustTokioAxumSQLitePostgreSQLMCP

igs-rust-mcp

Intelligence Gathering System - Rust flagship

223+ curated sources across 45 countries. 14 intelligence pools. Local NLP enrichment. TOON (Token-Oriented Object Notation) reduces token consumption by 40-60% for AI agent consumption. 9 custom parsers (RSS, Atom, HTML, OFAC, WHO, Semantic Scholar, PDF).

RustMCPNLPRSSarXivSemantic Scholar

TDG

Teleological Developmental Graph

55 MCP tools. A recursive, holonic knowledge architecture for AI agents - using a holonic graph to model goals, constraints, and knowledge. Enables agents to maintain a durable, evolving memory of a project's entire evolution.

PythonMCPHolonic GraphKnowledge Architecture

Engagement options

Clear pricing. No discovery-call gatekeeping. Each service includes a 30-minute scoping session at no cost.

FEATURED

course · forge

Forge: Creative Incubator Workshop

A 2-day intensive that takes a raw concept through the complete forge cycle. From architecture to shipped prototype.

MCP Maintenance Retainer

Monthly maintenance for your MCP infrastructure. Updates, monitoring, and priority support. Cancel anytime.

Enterprise MCP Integration

Full-scale MCP deployment for engineering teams. Multi-server architecture, agent orchestration, and production hardening.

Standard MCP Deployment

Get your team on MCP fast. Single-server deployment, core agent setup, and team onboarding. 2-week timeline.

MCP Audit

A technical audit of your MCP infrastructure. Architecture review, security assessment, and deployment recommendations.

$500

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Latest engineering notes

Deep dives into MCP architecture, AI-native systems, and deployment patterns.

forge

Jul 6, 2026 · 1 min read

The AI-Native Stack: What Changes When Agents Are First-Class Citizens

The AI-native stack is not traditional software with AI bolted on. It is a different architecture where agents are first-class citizens, context is the primary data structure, and tools are the API layer. Here is what changes, and why most teams get it wrong.

forge

Jul 6, 2026 · 1 min read

MCP Architecture Patterns: A Field Guide

MCP is not a single pattern. It is a family of patterns, each with different tradeoffs. This field guide maps the four production patterns we have shipped, when to use each, and where they break. Written for engineering teams evaluating MCP infrastructure.

forge

Jul 6, 2026 · 1 min read

When MCP Is the Wrong Choice (And When It's the Right One)

MCP is not always the right answer. Sometimes a plain REST API is better. Here's an honest technical breakdown of when to use MCP, when to avoid it, and the architecture patterns that actually work in production — from someone who has shipped both.

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