🙋🏻♂️ Software Engineering Student 🧑🏻💻 AI Engineer Intern & Fullstack Developer
Currently building practical AI systems involving semantic search, embeddings, reranking, and offline LLM architectures.
📍 Brazil - São Carlos
📧 nicolasferezini22@example.com
🔗 LinkedIn: https://www.linkedin.com/in/nicolas-ferezini
💻 GitHub: https://github.com/fereziniNi
- 🎸 Music – Guitar player
- ⚽ Football
- 🏋️ Gym & Strength Training
- 📈 Financial Markets & Investment Automation
- 🤖 Artificial Intelligence Research and Applications
- Python – Intermediate/Advanced
- Java – Intermediate
- SQL (SQLite) – Intermediate
- JavaScript – Basic
- LangChain
- HuggingFace Transformers
- Ollama (Mistral)
- RAG architectures (offline and local)
- Prompt Engineering
- Portuguese – Native
- English – Advanced (continuously improving communication and fluency in professional and technical contexts)
- Building intelligent document-based AI systems
- Developing automation tools for the Brazilian stock market
- Creating educational AI tools for math exercise generation
A Retrieval-Augmented Generation system that:
- Processes PDFs (text, tables)
- Performs semantic chunking
- Uses embeddings with HuggingFace models
- Stores vectors in Chroma
- Applies reranking before answer generation
- Runs locally with Ollama (Mistral)
To become a highly skilled AI Engineer capable of designing, optimizing, and deploying intelligent systems that combine LLMs, semantic retrieval, and real-world applications.
I am continuously building practical projects to strengthen my expertise in applied AI and backend architecture.