Stack

Technical stack

Skills, tools, and systems I can point to with public proof, shipped work, or client-style implementation evidence. AI work is framed as implementation: local models, API wrappers, queues, review surfaces, content governance, GEO/AEO technical structure, and human-controlled automation.

4 skills

Core

Web/software systems

21+ years

Broad web/software implementation across production sites, technical systems, debugging, automation, and delivery.

IndexLane work

Backend / Crawling

Python / FastAPI / crawling systems

Portfolio proof

FastAPI crawler and decision systems with raw/rendered audits, worker queues, evidence APIs, market evidence, exports, and technical SEO diagnostics.

ILCrawler / MarketEngine

AI / Workflow

Local LLM / model serving

Local model proof

Self-hosted and local LLM workflows using open-weight models, quantized builds, API wrappers, prompt pipelines, and operator review boundaries.

Private lab / workflow proof

Diffusion / image-generation workflows

Self-hosted image proof

Self-hosted diffusion workflows around SDXL-style image generation, prompt presets, batch output review, API wrapping, and local/private generation experiments.

Private lab proof