Daniel Abreu

Background

About Daniel Abreu

Passionate AI Engineer, with a growing enthusiasm for Generative AI. Education: Graduated with a Masters in Computer Science & AI, highly focused in AI-related modules at the University of Nottingham. Expertise: Proficient in Python, TypeScript, and SQL, with hands-on experience using TensorFlow, PyTorch, Scikit-learn, and Apache Spark. From personal projects, I also hold knowledge of AWS, Docker, and PostgreSQL for scalable development and cloud integration. Cloud & Visualization: Successfully implemented cloud solutions using AWS Lambda, S3, and SQL to enhance model deployment and scalability. Integrated Grafana for real-time visualization of AI performance metrics. Certifications & Learning: Holder of certifications in Deep Reinforcement Learning, PyTorch, and NLP, with continuous exploration of advanced machine learning techniques like generative modeling and MLOps practices. 🤖 Interests: Intrigued by the interplay of statistics and data, I find joy uncovering hidden patterns in data, while also on the lookout to experiment with new and emerging AI technologies such as generative modelling and implementing advanced forecasting techniques. Portfolio: Explore my work at danielabreu.co.uk