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David Rose, AI Systems Engineer

I design and build AI systems end to end: autonomous agents, LLM infrastructure, and the products on top of them. Most of my time goes to agent orchestration and developer tooling, with a long tail of computer-vision and full-stack work behind it.


Flagship Work

Project
🪵 Longhouse Mission control for AI coding agents: ingest, search, and live-steer agent sessions across your machines. Rust session engine, FastAPI backend, React UI, native iOS/macOS clients.
🔭 Agent Observatory A macOS app that captures what coding agents actually receive, comparing expected context against real LLM traffic via a NetworkExtension transparent proxy.
LLM Benchmarks Continuously benchmarks LLM inference speed across 16+ providers, with a live public dashboard and a distributed job scheduler behind it.
🛑 Stop Sign Nanny Real-time computer-vision pipeline that watches an intersection over RTSP, tracks vehicles with Kalman filtering, and scores stop-sign behavior.
🌊 FloodMap USA Nation-wide US flood-risk mapping: a FastAPI elevation-tile service plus a MapLibre/WebGPU client with a shallow-water flood simulation.

AI Agents & Tooling

Project
🔧 Agent Tools MCP server facades that cut Claude Code's tool-token overhead by ~90%.
📜 Agentlog A zero-dependency parser that normalizes local agent session logs across Claude, Codex, Gemini, and Cursor.
🖥️ Pixel Pilot Computer-use agent that completes desktop tasks via screen control.
🎁 Code Wrapped A year-in-review for your AI pair-programming habits.

Research & Products

Project
🌀 Chaos Stability Probe Mechanistic-interpretability research on how tiny prompt perturbations steer LLM generation, using activation patching and sparse-autoencoder feature deltas.
⚖️ NYC Crime Data Explorer Careful recidivism analysis over public NYC arrest/jail data with Polars + DuckDB, shipped as a live Next.js app.
🌅 HDR Pop Turns standard photos into HDR via AI-generated gain maps.
🏀 March Madness LLM NCAA bracket simulator that lets an LLM make the picks.
🍷 This Wine Does Not Exist Invented wines from GPT-2 + StyleGAN.

Foundations

Earlier work in control systems and computer vision that shaped how I think about autonomy.

Project
🚗 MPC Vehicle Controller Model-predictive control + vision for autonomous steering.
🦾 Robotic Control with DRL Deep reinforcement learning for robotic control in Unity.
🛣️ Lane Tracking Image-processing pipeline for autonomous lane detection.

Build Cadence

Python Go HTML

Over the last 30 days: 1,271 commits across 27 repos. I work alongside coding agents daily (roughly 79 agent sessions this month, mostly Claude Code and Codex), but the output is the part that matters.

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