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
M.Sc. Master of Science, Data Science, M.Sc. Master of Science, Data Science at Åbo Akademi University
Informatiker, Computational Science and Engineering, Informatiker, Computational Science and Engineering at Hamburg University of Technology
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, B.Sc. Ingeniería de Sistemas y Computación, Computer and Systems Engineer 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