Hi, I'm Cayo Phellipe, a passionate software engineer with a strong background in system development, artificial intelligence, and academic research. I enjoy solving complex problems, designing robust applications, and continuously exploring new technologies.

I currently work as a Development Analyst II at fazer.ai, where I contribute to the development of scalable APIs, automation solutions, and intelligent integrations focused on customer engagement.

In parallel, I'm pursuing a Master’s degree in Computer Science at the Faculty of Computing (FACOM) of the Federal University of Uberlândia (UFU), focusing on intelligent systems and optimization techniques. I hold a Bachelor’s degree in Computer Engineering from UFU, completed in 2024.

• 🔧 brafis
  Internal framework for scalable and configurable API development, used in multiple fazer.ai projects.

• 💬 chatwoot
  Fork of Chatwoot with support for custom WhatsApp providers using Baileys integration and event-driven architecture.

• 📲 baileys-api
  API built with ElysiaJS and Baileys for WhatsApp automation and message processing.

Languages:
Ruby, TypeScript, JavaScript, Python, C++, C

Frameworks & Libraries:
Node.js, Bun, Ruby on Rails, ElysiaJS, Vue.js

Testing & Code Quality:
Jest, RSpec, Biome

DevOps & Databases:
Git, Docker, Linux, PostgreSQL, Redis

AI & Data Science:
YOLO, TensorFlow, Triton, Scikit-learn, NumPy, Pandas

Other Tools:
REST APIs, Webhooks, JSON, PFX/PEM certificates, Brazilian NF-e Systems

• Backend Development
• API Design & Integration
• Artificial Intelligence & Machine Learning
• Computer Vision

• 🎓 M.Sc. in Computer Science
  Faculty of Computing – Federal University of Uberlândia (UFU)
  2025 – Present

• 🎓 B.Sc. in Computer Engineering
  Federal University of Uberlândia (UFU)
  Graduated in 2024