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.
Topics
Filter by technology, buyer problem, tool, or proof type.
Languages
Frameworks
CMS / Platforms
Platforms
Tools
Disciplines
Buyer Problems
Proof Types
Core
Web/software systems
Broad web/software implementation across production sites, technical systems, debugging, automation, and delivery.
IndexLane workBackend / Crawling
Python / FastAPI / crawling systems
FastAPI crawler and decision systems with raw/rendered audits, worker queues, evidence APIs, market evidence, exports, and technical SEO diagnostics.
ILCrawler / MarketEngineAI / Workflow
AI-assisted implementation
Practical LLM-supported implementation, triage, classification, drafting, QA, and handoff workflows with deterministic filters and human approval boundaries.
ReachLog / workflow proofLocal LLM / model serving
Self-hosted and local LLM workflows using open-weight models, quantized builds, API wrappers, prompt pipelines, and operator review boundaries.
Private lab / workflow proofMulti-model editorial pipelines
LLM-assisted drafting, rewrite, critique, comparison, and review pipelines across multiple models, with deterministic checks and human approval before publishing.
AI-assisted content governance