Ana Beatriz do Nascimento Schlink
@anabeatrizdonascimen
Software engineer building scalable Python backends and LLM-powered data pipelines.
What I'm looking for
I’m a software engineer with a strong foundation in Python, backend development, and machine learning integration. I build scalable data pipelines, implement LLM-based solutions, and write automated tests to keep systems clean, reliable, and production-ready.
In my current Software Engineering Intern role at NSEE / Instituto Mauá de Tecnologia + Giant Magellan Telescope (GMT), I integrated LLMs (HuggingFace, DeepSeek) into automated data extraction pipelines using prompt engineering for structured outputs from unstructured medical documents. I also built an end-to-end Python ETL pipeline processing 100K+ clinical records, co-developed a Python web scraping pipeline for clinical data collection, and created 40+ automated tests in Node.js (CoffeeScript) for telescope control system UI components. My academic work includes a published medical AI thesis (RetinaCare) and research presentations on AI applications in healthcare.
Experience
Work history, roles, and key accomplishments
Software Engineering Intern
NSEE / Instituto Mauá de Tecnologia
Sep 2024 - Present (1 year 10 months)
Integrated LLMs (HuggingFace, DeepSeek) into automated data extraction pipelines using prompt engineering for structured output from unstructured medical documents. Built a 100K+ clinical-records Python ETL pipeline and developed 40+ Node.js automated tests for telescope control system UI components, collaborating in Scrum teams.
Education
Degrees, certifications, and relevant coursework
Instituto Mauá de Tecnologia (IMT)
Bachelor's in Computer Science, Computer Science
2022 - 2026
Grade: GPA: 8.52/10
Activities and societies: Minor in Business Management; Thesis project RetinaCare (Medical AI Diagnostic API); presented at CONIC 2025; published in Revista DCS.
Bachelor’s in Computer Science at Instituto Mauá de Tecnologia (IMT) with a published thesis on medical AI. Thesis work includes RetinaCare—an AI diagnostic API presented at CONIC 2025 and published in Revista DCS (ISSN 2224-4131, DOI: 10.54899/dcs.v23i91.5800).
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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