Software Engineer • Python & AI • Computer Science Graduate (IMT, 2026)

Computer Science graduate from Instituto Mauá de Tecnologia, with hands-on experience in backend development, data pipelines, and applied AI. I contributed to the Giant Magellan Telescope (GMT) control system — a $2B international engineering project — and have experience integrating LLMs into real-world workflows.

I enjoy building reliable systems and solving complex problems with clean, testable code.

FastAPI service that extracts structured medical information from free-text patient descriptions using LLMs. Receives patient input, calls HuggingFace Inference API, and returns symptoms, urgency level, suggested specialty, and red flags as structured JSON — persisted in PostgreSQL.
Tech: Python, FastAPI, PostgreSQL, Docker, HuggingFace
🔗 clinic-intake-agent

Minimalist task manager with natural-language quick capture, color-coded lists, weekly schedule view, and passwordless authentication. Built as a daily productivity tool used in production.
Tech: React, TypeScript, Supabase, Tailwind CSS, Vite
🔗 taskly · Live

Automation tool that extracts structured business data from Google Maps and exports to Excel.
Tech: Python, Playwright
🔗 maps-leads-scraper

Automatic Classification of Diabetic Retinopathy Using Artificial Intelligence Models
Presented at CONIC – SEMESP 2025
🔗 DOI: 10.54899/dcs.v23i91.5800

• LinkedIn: Ana Beatriz Schlink
• Email: abnschlink@gmail.com