Hi! I'm João Vitor, a Computer Engineer from Brazil working as a Software Engineer, with a background in agentic AI pipelines and fullstack development. I design and build agentic pipelines with monitoring and observability, data collection and processing pipelines, and platforms that aggregate data from multiple sources into unified, usable products. I'm passionate about programming and mathematics, and I'm constantly applying best practices to build efficient and reliable software.
I build on top of the Claude (Anthropic), Google Gemini (including Deep Research), and OpenAI APIs.
I work as a Software Engineer implementing systems with the architecture best suited to each solution. Rather than applying a one-size-fits-all approach, I evaluate the problem and choose the design that fits it, from simple, clean structures to more elaborate architectures when the project demands it. My work is guided by design patterns, clean code principles, and development best practices, always aiming for software that is maintainable, testable, and built to last.
I also work as a consultant, helping companies adopt AI in their operations. My work includes:
- Teaching teams how to use AI effectively, with a strong focus on Claude Code
- Identifying bottlenecks in business operations that can benefit from AI
- Implementing RAG solutions for internal documents and knowledge bases
- Designing AI adoption strategies tailored to each company's workflow
- Agentic AI pipelines with monitoring and observability
- Data collection and processing pipelines with monitoring
- Platforms that aggregate data from multiple sources
- Fullstack development
- AI consulting and training for companies
- Python
- JavaScript
- C
- C++
- C#
- Java
- Assembly (AVR)
- AHDL
- Claude Code
- Claude API (Anthropic)
- Google Gemini API (including Deep Research)
- OpenAI API
- RAG (Retrieval-Augmented Generation)
- Agentic pipelines and automation
- Pandas
- Scikit-learn
- NumPy
- Matplotlib
- TensorFlow
- Seaborn
- AWS (Amazon Web Services)
- MySQL
- PostgreSQL