SÃO PAULO, BRAZIL
Backend Software Engineer
I build REST APIs and enterprise integrations with Python. I also implement business rules in data pipelines using SQL, PySpark, and Databricks.
Open to international opportunities and relocation
PORTFOLIO
CONSULTING · BACKEND
I built REST APIs that connect internal platforms to ERP and CRM systems and automate steps in operational workflows. In production, I monitored the integrations and used logs to investigate incidents.
Alongside the APIs, I built internal tools to automate repetitive operational tasks that previously required manual work.
CONSULTING · DATA ENGINEERING
I built a Databricks pipeline that combines HR and leave records to calculate days worked and produce an eligibility dataset for HR to review by employee and six-month cycle.
I split leave periods across cycle boundaries and consolidated employment records for the same employee. When validating the output, I checked cases involving changes in employment records and end-of-cycle departures to catch double counting and records carried into the following cycle.
CONSULTING · MODEL VALIDATION
I worked on validating transaction models for individual and business banking customers.
I reviewed input data quality, technical documentation, and whether model runs could be reproduced.
CONSULTING · BUSINESS INTELLIGENCE
I worked on organizing Databricks data into a star schema for analysis in Power BI.
I modeled fact tables and shared dimensions so reports could apply consistent filters across datasets.
SOFTWARE · FULL STACK
I developed an internal system for recording and tracking work hours.
I implemented the backend logic for time entries and the interface used to log and review hours.
AUTOMATION · FINANCIAL OPERATIONS
I developed an automation for a financial workflow involving data from CRM and ERP systems.
I used RPA to connect steps in the workflow across the two systems and reduce manual work.
CAPSTONE · PUBLISHED PAPER
I co-authored a study comparing three YOLO versions for fire and smoke detection. We used 870 images from two public datasets, split into training, validation, and test sets.
In our experiment, YOLOv8s detected more fire and smoke instances, while YOLO11s produced fewer false positives.
Revista Contemporânea · 2024
Read the published paperCAREER
SEP 2024 – PRESENT
Software Engineer / Consultant
Backend development, systems integration, data pipelines, and production support across consulting engagements.
2022 – 2023
Technology Intern
Asynchronous C# services, robotic process automation, and contributions to business intelligence and data modeling projects.
2020 – 2022
IT Apprentice
Linux and network support, infrastructure monitoring, and Python scripts for operational automation.
CONTACT
I’m interested in backend, systems integration, and data engineering roles.