Open to opportunities

Felipe Matheus

@felipematheus

Message

Software engineer focused on scalable data engineering and AI-driven intelligence.

Brazil

Message

What I'm looking for

I’m looking for a role where I can build scalable ETL/data pipelines and apply AI (LLM evaluation, RLHF, SFT) to deliver KPI-driven business intelligence, while collaborating across product/UX to turn requirements into impactful software.

I’m a Software Engineering undergraduate specializing in Data Engineering and AI, with a focus on turning operational data into strategic KPI intelligence. I enjoy building systems that are both reliable at scale and useful for real decision-making.

In my current Strategy and Perfomance Intern role at CNI, I developed data pipelines and performed ETL of large datasets using Python and Databricks (PySpark/SQL). I transform operational data into actionable BI for national and regional KPI monitoring, then consolidate and validate results in Power BI dashboards for complex programs.

Alongside that, I’m working as a Researcher & Software Engineering Monitor at PET-Saúde Digital, where I designed an AI-powered software to collect patient data and assist in diagnosis. I use UX methodologies and requirements elicitation, and I facilitate brainstorming workshops with a multidisciplinary group to define the product features and nuances.

Previously, as Co-founder & AI Researcher in the Neural Networks Study Group (UnB), I improved AI-generated outputs using data annotation, RLHF, and SFT labeling workflows. I also built sequence-to-sequence architectures (Transformers, LSTMs) and automated data collection and browser interactions with Selenium and Python scripts.

Experience

Work history, roles, and key accomplishments

Current

Strategy and Performance Intern

Current

CNI

Feb 2026 - Present (4 months)

Developed data pipelines and performed ETL of large datasets using Python and Databricks (PySpark/SQL). Transformed operational data into KPI-focused business intelligence and validated results in BI dashboards for national and regional programs, including Gratuidade and PEG.

Python Databricks Pyspark SQL ETL KPIs Dashboards Data Validation

Current

Researcher & Software Monitor

Current

PET-Saúde Digital

Aug 2025 - Present (10 months)

Designed and planned an AI-powered software to collect patient data and assist in diagnosing disorders. Facilitated brainstorming workshops with a multidisciplinary group and applied UX methods to elicit requirements and define software features.

UX Design Elicit Requirements Workshop Facilitation Feature Definition

Co-founder & AI Researcher

Neural Networks Study Group (UnB)

Dec 2024 - Jan 2026 (1 year 1 month)

Evaluated and improved AI-generated outputs using data annotation, RLHF, and SFT labeling workflows. Implemented sequence-to-sequence architectures (Transformers, LSTMs), tested agentic workflows, and automated data collection and browser interactions with Selenium and Python scripts.

Data Annotation SFT Transformers Seq2Seq Modeling Workflow Agents Selenium Python

UX Designer & Research Assistant

ITRAC (UnB)

Sep 2023 - Sep 2024 (1 year)

Collaborated with government stakeholders (MGI, Ibama, and ICMBio) to propose solutions for optimizing public processes. Conducted a systematic literature review analyzing and synthesizing over 2,000 articles on the intersection of UX and software engineering, and supported requirement gathering through UX-focused workshops.

UX Research Requirements Gathering Workshop Facilitation Stakeholder Management User Centered Design UX Engineering

Education

Degrees, certifications, and relevant coursework

University of Brasília (UnB)

Bachelor's Degree in Software Engineering, Software Engineering

2022 -

Undergraduate studying Software Engineering at the University of Brasília (UnB), with a focus on Data Engineering and AI. Degree is incomplete and ongoing.