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
TypeScript / Frontend
TypeScript / React / Next.js
Private product shells, workflow tools, operator interfaces, stateful UI, CSV import/export, and review dashboards.
SearchCaliber / ReachLogBackend / 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 proofDiffusion / image-generation workflows
Self-hosted diffusion workflows around SDXL-style image generation, prompt presets, batch output review, API wrapping, and local/private generation experiments.
Private lab proof