Summary
Nicolás Torres is a Technology Graduate and systems engineer with nine years of hands-on experience spanning AI/ML, software engineering, DevOps, and data-driven research. He has applied NLP and LLM techniques to automate requirements-to-design workflows in safety-critical contexts (railways) and built practical ML pipelines for multilabel classification of GitHub issues. His background includes backend and full-stack roles in high-throughput fintech systems, where he improved incident resolution and helped scale services used by thousands of businesses. Nicolás blends academic research—FMU co-simulation and data science master’s work—with industry delivery, having led small teams and designed cloud-native microservice architectures on AWS and Kubernetes. Based in the Turku Metropolitan Area, he pairs strong formal training and top grades in data science with a pragmatic focus on automation and reproducible pipelines. A less obvious strength is his track record of turning research prototypes into production-ready artifacts that reduce human intervention in verification and operations.
9 years of coding experience
3 years of employment as a software developer
Informatiker, Computational Science and Engineering, Informatiker, Computational Science and Engineering at Technische Universität Hamburg-Harburg
M.Sc. Master of Science, Data Science, 5.0/5.0, M.Sc. Master of Science, Data Science, 5.0/5.0 at Åbo Akademi University
Master's degree, Data Science, Master's degree, Data Science at EDISS Master's programme on the Engineering of Data-intensive Intelligent Software Systems (EMJMD)
B.Sc. Ingeniería de Sistemas y Computación, Computer and Systems Engineer, 4.4/5.0, B.Sc. Ingeniería de Sistemas y Computación, Computer and Systems Engineer, 4.4/5.0 at Universidad Nacional de Colombia
M.Sc. Master's degree, Industrial Software Engineering, M.Sc. Master's degree, Industrial Software Engineering at Mälardalen University
German, English, Spanish, Italian, Finnish