Supply Chain Forecasting
Machine learning and probabilistic models that guide production planning with real facts, not guesses.
Hi, I’m
Weslley Marcelo Pereira
Computer Engineering student · Machine Learning & Predictive Analytics
Using machine learning and predictive models to make supply chain and production planning more accurate, from demand forecasting to data-driven decisions.
About
Final-year Computer Engineering student at UTFPR focused on software development and applied machine learning. I build predictive models and data pipelines to make supply chain and production planning more accurate at WEG, and architect multi-agent AI systems on the Google Cloud ecosystem.
Experience
Production Planning & Control (PCP) Intern
WEG · CurrentBuild machine learning models to predict market demand so planning runs on real facts instead of guesses. Monitor end-to-end planning, keep SAP data accurate and help the team work faster and smarter with data.
Undergraduate Research Fellow, AI & Medical Imaging
UTFPR · PIBIC/PIBIT 2025Automated glaucoma diagnosis system using Convolutional Neural Networks. Focus on model optimization and testing with medical databases.
Research & Projects
Data Pipelines
Data engineering and SAP data governance that feed predictive models and keep planning accurate.
Agentic AI on GCP
Architecting multi-agent systems and AI pipelines with Vertex AI on the Google Cloud ecosystem.
Skills
Languages
- Python
- C
- JavaScript
- SQL
AI / ML
- Machine Learning
- Computer Vision
- CNNs
- Prompt Engineering
- Vertex AI
Data & Cloud
- Data Engineering
- Google Cloud
- SAP
- Microsoft Excel
Tools
- Git
- Docker
- Linux
- React.js
- Cypress
- REST APIs
Education
B.Eng. Computer Engineering
UTFPR · Final yearFederal University of Technology, Paraná, Brazil. Emphasis on software development, embedded systems and computer vision.
Let’s connect
I’m always open to research collaborations, engineering challenges and new opportunities in ML, computer vision and agentic AI.