I build AI automation and data workflow systems that turn messy information into structured, useful outputs.
My strongest areas are AI workflows, data extraction, web scraping, LLM-based automation, Google Sheets/database workflows, and backend tools. I have built projects involving AI voice agents, AI-assisted search, opportunity discovery engines, and structured data pipelines.
I work with Python, JavaScript/TypeScript, Playwright, LLM APIs, Supabase/Postgres, automation logic, and structured reporting. My background in Psychology also helps me understand user needs, workflows, and how to make AI tools clearer and more useful.
I can help with AI automation, scraping, data organization, workflow tools, chatbot/voice-agent logic, and turning manual processes into simple working systems.
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Built an AI-assisted housing search concept that turns student housing needs into structured search results. The system focuses on matching, ranking, explanation, and clearer decision-making for users.
Built a system for finding and organizing scholarships, jobs, and opportunities from online sources. The workflow included scraping, deduplication, filtering, structured data extraction, and ranking results by relevance.
Built an AI voice customer-service agent that listens to users, transcribes speech, generates an answer with an LLM, and replies using text-to-speech. The system was designed for customer questions, lead capture, and business follow-up.
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