AI Engineer with experience in backend engineering, distributed systems, and cloud (AWS, Azure), currently specializing in Generative AI and Machine Learning. Practical experience in designing RAG (Retrieval-Augmented Generation) systems, with retrieval pipelines, embeddings, and vector databases (pgvector), as well as developing intelligent agents with tool-calling and using LLMs (Llama 3.2, GPT, Hugging Face, Ollama). Solid foundation in production software engineering (Java, Python, Spring Boot, Spring AI, REST APIs, testing, CI/CD) and in deploying cloud solutions, applied to building scalable, reliable, and business-oriented AI systems.
- Languages: Python, Java, JavaScript, and SQL
- Backend: Spring Boot, Flask, FastAPI, REST APIs, and Microservices
- Cloud & DevOps: AWS, Azure, Kubernetes, and CI/CD
- Databases: MySQL, Oracle, SQL Server, and MongoDB
- Data Science & Machine Learning: EDA, Pandas, Scikit-learn, Numpy, Matplotlib, Machine Learning regression and classification algorithms
- AI Engineering: Deep Learning, Neural Networks, LLMs, AI Agents, LangChain, RAG, Context Engineering
- AI Engineering
- Machine Learning
- LLMs
- RAG
- Embeddings
- Vector Databases
- AI Agents
- LangChain and LangGraph
- Spring AI
☁️ AWS Certified Developer – Associate
🎓 Bachelor's Degree in Information Systems | Currently pursuing a Postgraduate Specialization in Artificial Intelligence
🌎 Advanced English (EFSET C1)
