Education
Master's in Applied Computing
Universidade de Brasília (UnB)
Mar 2026
Started graduate studies focused on AI, statistics, and software engineering.
AIStatisticsSoftware Engineering
Experience
Matheus Gabriel Alves Rodrigues
Software Engineer and Data Engineer building data-intensive systems, ML pipelines, and AI-powered workflows. MSc candidate at UnB.
Experience
Jan 2024 – Present Hybrid
Data Scientist
Banco do Brasil
Brasília, Brazil
Technology advisory role at Brazil's largest bank, focused on technology governance, data-driven decision making, and digital transformation initiatives.
- Technology governance and strategic advisory on data-intensive systems.
- Support for digital transformation projects and analytical platforms.
- Bridging technical and institutional requirements across business units.
PythonSQLData AnalysisPower BIAzure
Jan 2020 – Jan 2024 On-site
Data Scientist
AI.lab UnB
Brasília, Brazil
Applied NLP and machine learning to legal document analysis across judicial AI projects at AI.lab UnB, including ALEI initiatives developed in partnership with TRF1 and CNJ.
- Developed NLP pipelines for automatic classification and analysis of Brazilian legal documents across multiple judicial projects.
- Built and evaluated supervised classification models for legal category extraction in ALEI-related initiatives.
- Designed APIs and integration layers to connect model outputs to institutional systems.
- Contributed to experimentation, delivery, and technical collaboration across the lab's legal AI portfolio.
PythonspaCyHugging Face Transformersscikit-learnFastAPIPostgreSQLDockerMLflow
Education
Academic milestones and formal education background, prioritized before certifications.
Education
Bachelor's in Software Engineering
Universidade de Brasília (UnB)
Jan 2018 – Dec 2023
Completed undergraduate training in software engineering.
AlgorithmsSystemsSoftware Design
Certifications
Professional certifications and language milestones that complement the academic track.
Certification
Python Institute PCAP
Python Institute
Jun 2026
Officially completed the Associate Python Programmer certification.
PythonPCAP
Certification
Airflow 3 Fundamentals
Astronomer Academy
Oct 2025
Completed workflow orchestration fundamentals for Airflow 3.
AirflowOrchestration
Certification
BIFPC
Business Intelligence Foundation Professional Certification
Sep 2024
Business intelligence foundations certification milestone.
BIAnalytics
Certification
Python Institute PCEP
Python Institute
Jun 2024
Completed the entry-level Python certification.
PythonPCEP
Language
English B2
English Proficiency
Apr 2024
Reached B2 English proficiency.
EnglishB2
Projects
Data Scientist / Python Microservices Engineer · 2020 – 2022
ALEI 2G — Second-Instance Judicial Process Services
AI.lab UnB / CNJ
Worked on ALEI 2G in a judicial AI initiative focused on second-instance legal processes. The work centered on Python microservices, model integration, and backend services supporting AI-enabled legal workflows.
Impact
Built Python microservices to integrate AI models into second-instance judicial process workflows, enabling service-oriented delivery for legal analysis systems.
- Python microservices integrating AI models into second-instance judicial systems
- Service-oriented backend delivery for legal analysis workflows
- Infrastructure for operationalizing NLP capabilities in institutional contexts
Legal TechMicroservicesNLPPython
Tech Lead / Data Scientist · Jun 2022 – Jan 2024
ALEI 1G — Legal Document Analysis Platform
AI.lab UnB / CNJ
Acted as Tech Lead and Data Scientist in ALEI 1G, applying NLP and AI/ML to first-instance Brazilian legal processes with higher data volume demands and classification workflows at national scale.
Impact
Led a squad and built NLP and classification solutions for first-instance judicial processes, operating over larger data volumes and reducing manual categorization workload for court analysts.
- Squad leadership for delivery of first-instance legal document classification workflows
- NLP and classification pipelines operating over larger judicial data volumes
- FastAPI services integrating AI outputs into institutional judicial systems
NLPLegal TechClassificationMLflow
Data Scientist · 2024 – Present
Spid BB — Urban Mobility Analytics for Public-Sector Travel
Banco do Brasil
Contributed as a Data Scientist to Spid BB, building analyses over large data volumes, predictive models related to urban mobility demand and behavior, and geoprocessing workflows to support travel decisions in public-sector corporate contexts.
Impact
Worked on data-intensive analytics and predictive modeling for Spid BB, an urban mobility app for corporate travel serving public-sector organizations, with additional work in geoprocessing.
- Large-scale analysis of mobility and travel data for public-sector corporate trips
- Predictive models to support demand and travel-related decision making
- Geoprocessing workflows for spatial analysis and territory-aware insights
Urban MobilityPredictive ModelingGeoprocessingSpark
Skills
Languages & Data
PythonSQLBashSpark
ML & AI
scikit-learnTensorFlowLangChainMLflowDVCXGBoostLightGBM
Backend & Infrastructure
FastAPIPostgreSQLDockerAirflowFirebaseFastMCP
Languages
Portuguese Native
English Professional