Source
IT Technician
CIMOL
Thesis: applying AI to melanoma recognition.
Data Engineer
From full stack to data: I build pipelines that flow like water — from raw data to decisions.
About
I started at CIMOL technical school training an AI to recognize melanomas in skin photos — the first time data and healthcare crossed paths in my career.
I then spent almost five years building full stack products: APIs in Java/Spring and Go, apps in Flutter and Next.js, data modeling on Oracle, SQL Server and PostgreSQL.
Today I'm a Data Engineer at NoHarm.ai, moving hospital data into clinical pharmacy: AWS pipelines, SQL modeling for reporting and LLM-powered text-to-SQL.

| 2021 | 25% |
|---|---|
| 2022 | 30% |
| 2023 | 30% |
| 2024 | 35% |
| 2025 | 45% |
| 2026 | 90% |
Stack
Experience
Source
CIMOL
Thesis: applying AI to melanoma recognition.
SnapControl · Parobé, RS · On-site
Source
FACCAT
Completed.
Calçados Status · Igrejinha, RS · Hybrid
Lighthouse · Remote
NoHarm.ai · Remote
Projects
NoHarm.ai case · private
Clinical pharmacists ask questions in plain language; an LLM pipeline generates SQL over NoHarm's data model, runs it on PostgreSQL and returns the answer.
Private code
Research · CIMOL thesis
AI to spot irregularities in skin moles from photos — where data and healthcare first met in my career.
Smart home · personal
Smart home control: a Go API and a Flutter app talking to the devices.