Front-end Tech Lead · React & TypeScript · genAI/DX

10+ years building enterprise front-end systems at CGI. I close the gap between design and engineering — through scalable component libraries, AI-augmented workflows, and developer experience that actually ships.

• Design Systems — component libraries, design tokens, Storybook, cross-team governance
• AI-augmented DX — MCP servers, Figma Code Connect, streaming LLM apps in production
• Privacy-first AI — local inference pipelines, GDPR-compliant LLM integrations

→ awolczuk@gmail.com · LinkedIn · GitHub

Architected a modern insurance PWA achieving a 96% Google Page Speed score:

• Component library with full Storybook documentation and testing
• Storyblok integration enabling visual editing independent of dev cycles
• AI-augmented delivery pipeline using Figma Code Connect to sync design tokens with production code

Full-stack subscription web app shipped to production. Stack highlights:

• Streaming LLM responses — Vercel AI SDK + Claude, token-by-token rendering
• Custom auth bridge — Clerk JWT decoded inside Supabase RLS policies (non-standard integration)
• Heavy compute in serverless — C library compiled to WASM, singleton-cached across requests
• Subscription billing — Stripe Checkout with dynamic pricing and promo codes

One philosophy across all repos: AI should work for you, not harvest your data. Local inference.

pseudonym-mcp — replaces PII with reversible tokens ([PERSON:1], [PESEL:1], [CREDIT_CARD:1]) before your prompt reaches the cloud, then restores original values in the response. GDPR-compliant pseudonymisation, fully offline, works with Claude, GPT-4, Gemini and any MCP-compatible client.

claude mcp add pseudonym-mcp -- npx pseudonym-mcp

Node.js Apple Vision Middleware four-layer ecosystem for local OCR & image analysis on macOS — same engine, different surfaces:

• macos-vision — the foundation. Apple Vision OCR for Node.js, native and fast.
• macos-vision-mcp — MCP server for Claude Code & Claude Desktop. Pre-extracts text before your AI sees it, cutting token usage by ~97% on real documents.
• AiSort (early stage) — auto-tags and annotates files using the stack above. Files never leave your machine.

claude mcp add macos-vision-mcp -- npx macos-vision-mcp

• Your Obsidian Vault as a Private Second Brain — Powered by Local AI — how to use macos-vision-mcp + pseudonym-mcp to query your vault with cloud AI without exposing personal data.
• Your Messaging Apps as a Private Document AI — Powered by OpenClaw — using macos-vision-mcp + pseudonym-mcp inside OpenClaw to OCR and anonymise documents sent over WhatsApp, Telegram, or Slack before they reach any cloud LLM.
• Apple Vision vs Tesseract — A 50-File OCR-to-Markdown Benchmark — head-to-head OCR comparison on 50 PDFs with identical LLM formatter input; Tesseract wins on CER, Apple Vision wins on structural quality.
• Privacy Tiers for Document AI — Three Pipeline Configurations — fully local vs local OCR + cloud LLM vs local OCR + pseudonymisation + cloud LLM: what each configuration protects, where the trade-offs are, and how to choose.