Building Just‑in‑ Time software with AI agents.

Engineered core systems at Epoch: a mixin-based agent engine with embedding layers, auto-healing connector modules that detect and repair broken integrations on the fly, and a multi-agent swarm simulation for stress-testing emergent coordination. The goal — codebases that spin up on demand and evolve without constant human patching.

Designed the execution engine from the ground up: parallel tool dispatch so agents don't wait in line, background sub-agents that run long tasks without blocking the main loop, worktree-isolated batch execution for clean multi-repo edits, and a real-time web mirror that lets humans watch autonomous multi-step coding unfold in the browser.

Designed a human-in-loop image production platform that compresses the generate/review cycle to two seconds. Fine-tuned PixArt-α on AMD ROCm, stacked Stable Diffusion upscaling, and built 71 style presets for rapid exploration. Presented a live demo at AMD Advancing AI 2024 in San Francisco.

Architected a seven-paradigm verification engine with FPR-weighted consensus voting. Parallel method execution via Promise.all(), mathjs autoformalization for symbolic proof generation, and BiPRM × Formal cross-paradigm confidence calibration. Streaming, real-time verification updates across 7 LLM providers — OpenAI, Anthropic, Google, Mistral, Azure, Bedrock, OpenRouter.