Work

Systems I've designed, built, and operate. Each solves a real problem with intentional architecture.

Context

Casting is fragmented, inefficient, and heavily manual — especially for indie filmmakers and emerging talent. Actors struggle to understand what they're right for, while productions spend time filtering noise instead of finding fit.

Problem

Traditional casting platforms rely on static profiles and keyword searches, which don't reflect real-world fit, availability, or context. Both sides lose time, and good matches are missed.

System Design

I designed CastIQ as a data-driven casting platform that structures talent profiles, project requirements, and availability into a system that can be reasoned about — not just searched.

AI's Role

  • Analyze role requirements beyond simple keywords
  • Help talent understand alignment with roles
  • Reduce friction in discovery without replacing human decision-making

Why It Matters

CastIQ isn't about automating casting decisions — it's about making better conversations possible by improving signal on both sides.

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Context

Public safety dive teams operate in high-risk environments where readiness, training, and compliance aren't optional — but the systems supporting them are often outdated or fragmented.

Problem

Tracking certifications, training dives, readiness, and compliance is often manual, inconsistent, and reactive. That creates risk where there shouldn't be any.

System Design

ORCA | ONE was built as an operational system that centralizes diver readiness, training history, and compliance status into a single, authoritative source of truth.

AI's Role

  • Flagging gaps in training or certification
  • Identifying patterns in readiness over time
  • Supporting leadership with clearer situational awareness

Why It Matters

This system supports real teams doing real work, where clarity and preparation directly impact safety.

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Context

AI is moving faster than most organizations can meaningfully track. The conversation is often polarized — either hype-driven or fear-driven — with little grounded analysis.

Problem

There's no simple way to monitor how AI is affecting roles, workflows, and systems over time without drowning in noise.

System Design

AI Watchtower was built as a signal aggregation and analysis platform designed to surface trends, impacts, and early warnings — not predictions.

AI's Role

  • Aggregate and summarize signals across domains
  • Detect emerging patterns
  • Support human interpretation rather than replace it

Why It Matters

AI Watchtower exists to support informed decisions, not hot takes — especially as AI continues to reshape work and systems.

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Tools & Equipment

Context

While working extensively with AI tools, I needed a better way to capture specific parts of conversations, revisit them later, and build a workflow around review and analysis — without breaking context.

Problem

AI conversations are transient. Valuable insights get lost, revisiting context is tedious, and most tools don't support structured review or follow-up.

System Design

I built a Chrome extension that allows users to highlight portions of ChatGPT conversations, store them locally, and navigate back to the original context. The system prioritizes speed, minimal friction, and staying out of the way.

AI's Role

AI is not the product here — it's the environment. The extension augments AI usage by improving how humans capture, reflect on, and reuse AI-generated insights.

Why It Matters

This tool reflects how I work: identify friction, build something practical, use it daily, then improve it through iteration.

Status

Actively used and evolving