Miguel Angel Bravo is a Consultant at Premier Analytics Consulting with expertise in Python, full-stack development, and applied machine learning. He builds scalable, user-centric applications using React, Python frameworks, Node.js, and API frameworks, and contributes to DevOps workflows that include Docker-based environments, version control, and automated deployment pipelines. Miguel has hands-on experience integrating large language models (LLMs), machine learning (ML) algorithms, and deep learning (DL) architectures into production systems, supporting end-to-end development from data pipelines to responsive front-end tools for AI-powered applications.​

​Miguel brings hands-on experience in full-stack development, big data processing, and applied AI research. He has built data visualization tools using Python, JavaScript (React), and API frameworks, developed cloud-based pipelines for climate datasets, and contributed to AI research on code search using LLMs like CodeBERT and GraphCodeBERT. Strong experience in Python for handling and processing big data, developing full-stack apps, and training AI algorithms.