Summary
Alexandre Dias is a data scientist with nine years of experience and an M.Sc. in Computer Engineering, currently focused on building generative AI and RAG-driven conversational systems. He has applied ML across fintech, e-commerce, and HR use cases at companies like QuintoAndar, Americanas, Yalo and Glovo, blending hands-on modeling with production MLOps practices (Kubernetes, MLFlow, DVC). Proficient in Python, R, SQL and frameworks from Scikit-Learn to PyTorch, he pairs classical ML (AVMs, boosting) with state-of-the-art generative stacks (LangChain, Hugging Face, OpenAI). Alexandre routinely bridges product and stakeholders, turning analytic insight into operational pipelines and scalable features. He maintains a technical blog and active GitHub, signaling a commitment to sharing reproducible work and practical engineering. Based in Barcelona, he combines rigorous academic training (MITx MicroMasters in Statistics & Data Science) with a track record of shipping production-ready AI solutions.
9 years of coding experience
6 years of employment as a software developer
Federal University of Rio Grande do Norte
MITx Micromaster Program in Statistics and Data Science, Data Science and Statistics, MITx Micromaster Program in Statistics and Data Science, Data Science and Statistics at MITx on edX
English, Portuguese, Spanish