📍 Barcelona, Spain

I'm a Software and AI Engineer with over 8 years of experience, specializing in Python, backend development, Machine Learning, Computer Vision, and Generative AI.

I design and build scalable software and AI solutions, including microservices, LLM-powered applications, RAG systems, and AI agents, leveraging cloud technologies and MLOps practices.

I combine software engineering and AI research with a passion for driving positive social impact, improving human well-being, and solving real-world challenges through technology.

I have worked on projects involving:

• Backend Engineering: Designing and developing REST APIs, microservices, and scalable Python applications, integrating SQL and NoSQL databases, with a focus on performance, maintainability, and code quality.
• Machine Learning: Developing, training, evaluating, optimizing, and deploying Machine Learning and Deep Learning models.
• Generative AI: Building LLM-powered applications, Retrieval-Augmented Generation (RAG) systems, AI agents, and semantic search solutions.
• Computer Vision: Image classification, object detection, segmentation, and explainability.
• Performance Optimization: Improving application performance and scalability through code refactoring, DDD principles, performance profiling, asynchronous programming, multithreading, multiprocessing, and resource optimization.
• Cloud & MLOps: Deploying applications and ML services across AWS and Google Cloud, implementing automated CI/CD pipelines, monitoring, and production-ready workflows.

I'm a Computer Science Engineer from the Universitat Autònoma de Barcelona (UAB), currently pursuing a PhD in Computer Vision at UOC. I'm a member of the AIWell – AI for Human Well-being research group and collaborate with researchers at IN3

My research focuses on applying Artificial Intelligence, Machine Learning, and Deep Learning to challenges with meaningful social impact.

Research interests:

• Computer Vision and Deep Learning
• Object Detection, Image Classification and Segmentation
• Explainable AI (XAI) and Model Interpretability
• AI for Human Well-being and Social Good

I'm also a Collaborating Professor (Profesor Colaborador) at the Universitat Oberta de Catalunya (UOC), teaching at both undergraduate (Bachelor's Degree in Data Science) and Master's levels.

Courses:

• Programming for Data Science (Programación para la Ciencia de Datos)
• Programming Fundamentals for Data Science (Fundamentos de Programación para la Ciencia de Datos)

I enjoy sharing knowledge, helping students develop programming skills, and connecting theoretical concepts with practical applications.

I believe AI should go beyond technological innovation to improve people's lives. My goal is to bridge academic research and real-world applications by developing responsible, impactful, and accessible AI solutions.

I'm particularly interested in combining Software Engineering, AI, Computer Vision, and Human Well-being to solve meaningful challenges.

I'm always open to exchanging ideas, collaborating on research, and exploring innovative AI projects.

• 💼 LinkedIn: Adonis González-Godoy
• 🔬 Research Profile: AIWell – UOC
• 💻 GitHub: adions025
• 📧 Email: adions025@uoc.edu