ChrisHeadShot

Chris Collett

AI Workflow Architect, Context Engineer, and Creative Technologist

LLM Platforms & APIs

  • OpenAI (API, GPT-4)
  • Google (Vertex AI, Gemini)
  • Custom GPT Development

Image & Video Generation

  • MidJourney, DALL-E
  • Google Veo
  • Sora
  • Nano-Banana

Audio Synthesis

  • ElevenLabs

AI Code Assistants

  • Cursor
  • Codeium

Technical Stack

  • Languages & Frameworks: Python, Node.js
  • Cloud & Database: Google Cloud, Vertex AI APIs, Firestore, Cloud Functions, TinyDB
  • Data Formats: YAML, JSON
  • Web & Content: WordPress, HTML/CSS, EPUB, Markdown

Creative & Strategic Tools

  • Knowledge Management: Obsidian (Dataview, Templater, Bases)
  • Design: Adobe Suite (Photoshop, Illustrator, Express), Figma, Canva, Subframe
  • Video: CapCut

Professional Summary

Strategic AI Architect and Creative Technologist with a proven record of translating high-level business goals into sophisticated, scalable AI solutions. Adept at architecting multi-agent systems and structured context frameworks that solve core operational challenges, turning general-purpose models into specialized, predictable, and auditable enterprise-ready assistants. Expert at bridging strategy, technology, and creativity to drive significant, measurable gains in productivity and innovation.

Professional Experience

AI System Architecture & Workflow Design

  • Architected Storygraf, an AI-powered publishing platform designed to address a key market gap in publishing. Engineered a 'content intelligence engine' using NLP models (NER, Sentiment Analysis) for deep narrative analysis. Designed with an API-first strategy to serve as foundational infrastructure for the industry, transforming manuscripts into market-ready assets with enhanced backmatter and series hooks..
  • Designed and orchestrated the Multi-Agent Conductor, a dynamic system that assembles and coordinates teams of specialized AI agents to solve complex business problems. Validated in over 400 user sessions, demonstrating high utility and adoption.
  • Engineered a cost-optimized, map-reduce summarization pipeline using a hybrid-model strategy (GPT-4o/GPT-4o-mini) to process a corpus of 8,500+ books, reducing content generation costs by 75-85% while improving output quality.
  • Conceived and architected the Aegis Context Management Framework, an innovative file-based memory system that solves the critical enterprise problem of AI context loss. This framework enables stable, long-term AI collaboration and creates a transparent audit trail by logging all interactions and decisions for oversight.

AI-Assisted Development & Project Management

  • Spearheaded the AI-assisted development of a Python automation tool to migrate 700+ email templates, saving over 650 hours of manual labor. Achieved rapid, high-impact automation by building the initial prototype in a single 15-minute session.
  • Guided AI-powered code assistants in debugging WordPress/PHP errors, IndexedDB exports, and modular Python architectures by providing precise technical specifications and architectural context, which accelerated debugging cycles and improved code maintainability.
  • Leveraged OpenAI’s file vector stores to isolate chapter-level context, enabling scene-by-scene analysis with minimal hallucination across a multi-agent pipeline for graphic novel adaptation.

Creative & Multi-Modal Automation

  • Designed sequential multi-agent customGPT (e.g., Virtual Food Photography Studio, Vision Weaver) that automates the entire creative pipeline from a single text concept to a finalized, production-ready text-to-image prompt.
  • Pioneered multi-modal innovation by engineering integrated workflows bridging multiple AI platforms, such as the Veo + SFX Designer, which generates synchronized video and audio assets from a single image.
  • Conceived and prototyped innovative AI-powered products across publishing and gaming, including children’s picture books, graphic novels, and interactive board game tutors.
  • Championed Human-in-the-Loop (HITL) workflows by designing explicit checkpoints for manual review, enhancing the accuracy and reliability of critical AI-driven processes.
  • Engineered robust safety and ethical guardrails into AI systems by implementing heuristic prompts to counteract bias and designing agents with strict verification protocols to ensure factual accuracy and reputational safety in public communications.

Skills

Strategic AI Architecture

  • Multi-Agent Systems & Orchestration
  • Context Engineering & AI Memory
  • Prompt Architecture & Engineering
  • AI-Assisted Prototyping & Development

Enterprise-Ready AI Systems

  • AI Workflow Automation
  • Scalable & Cost-Optimized Pipelines
  • Auditable & Transparent AI Design
  • Human-in-the-Loop (HITL) Design

Human-Centered AI Design

  • User-Centric AI Interaction
  • AI Ethics & Bias Mitigation
  • Knowledge Management