Erik Claveau Espony

AI Engineer with a strong backend and cloud foundation, focused on building data-driven and production-ready systems. I work primarily with Python across machine learning, backend development, and cloud-based architectures. I have hands-on experience developing ML models for price prediction and demand modeling, as well as LLM-based systems (RAG) integrated into real applications. In my current role, I design and maintain serverless backend services on AWS (Lambda, DynamoDB, SQS), build and test REST APIs with FastAPI, and contribute to automated testing and code reviews as part of a collaborative engineering team. My academic background in Computer Engineering, with a focus on computation, algorithms, and AI-related subjects, provides a strong foundation in problem-solving and system design. I continuously expand my skill set through applied learning in machine learning, statistics, and data engineering, including specialized training in data science and big data. I am particularly interested in applied AI, where models, data, and software engineering come together to create reliable, scalable solutions. I value clean code, clear documentation, and teamwork, and I enjoy tackling complex problems with a pragmatic, results-oriented mindset.