I build applied-AI and automation systems that solve real problems — LLM agents, RAG pipelines, and privacy-first, on-device AI. Currently an AI Automation Engineer shipping GenAI workflows in production.
- 🔭 Building applied AI & automation systems — LLM agents, RAG pipelines, and on-device / WebGPU AI
- ⚙️ Currently an AI Automation Engineer working with n8n, MCP servers, and GenAI creative pipelines
- 🌱 Exploring agentic architectures, local LLM inference, and privacy-first AI
- 💬 Ask me about LLMs, RAG, AI agents, Python automation, and web scraping at scale
- 🌐 Portfolio
AI / GenAI
Automation & Web
Languages
Backend & Data
Cloud & DevOps
| Project | What it does | Stack |
|---|---|---|
| ScrapeWizard ⭐ | AI-powered CLI that generates self-healing Playwright scrapers + a UI/UX test-automation studio | Python · FastAPI · Playwright |
| rag-feedback-loop | A feedback-learning retrieval layer that boosts useful chunks and decays stale ones | Python · FastAPI · Sentence-Transformers |
| udemy-transcript-extractor | Privacy-first Chrome extension that batch-extracts course transcripts in RAG-ready formats | TypeScript · Chrome MV3 |
| WebLLM Document Reader | On-device document Q&A running LLMs entirely in the browser via WebGPU | TypeScript · WebLLM |