Summary
Carlos Malla is an AI Solutions Architect based in Vienna with 11 years of experience building end-to-end ML systems that blend classical methods and state-of-the-art models to solve business problems cost-effectively. He has led teams and productized core AI stacks—spanning computer vision, NLP, and retrieval-augmented generation—while also contributing hands-on to architecture and code. His background spans industry and research, from speeding up -omics pipelines and knowledge-graph foundations in biotech to deploying real-time video detection and locally hosted LLM systems for edge use. Carlos combines academic rigor (MSc AI from Edinburgh, PhD work in medical informatics) with practical ops experience on AWS, GitLab, and CI workflows, and a knack for turning complex experimental workloads into efficient, production-ready pipelines. Notably, he moves fluidly between mentoring junior engineers and performing deep technical refactors, making him as comfortable defining roadmaps as shipping the code.
11 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Artificial Intelligence, Distinction, Master of Science - MS, Artificial Intelligence, Distinction at The University of Edinburgh
Doctor of Philosophy - PhD, Medical Informatics, Biostatistics & Complex Systems, Doctor of Philosophy - PhD, Medical Informatics, Biostatistics & Complex Systems at Medical University of Vienna
Double B.Sc., Computer Science and Business Management, 8.88/10, Double B.Sc., Computer Science and Business Management, 8.88/10 at Universidad de Las Palmas de Gran Canaria
Spanish, English, German