Ferran Llado is a consultant and machine learning engineer with 8 years of experience building AI-driven solutions, specializing in NLP and large language models. He has applied ML across diverse domains—from LLM-controlled NPCs at Electronic Arts to cybersecurity enhancements and ETL pipelines for archaeological research—demonstrating an ability to move models from prototype to domain-specific production. Comfortable across the stack with strong Python, data preprocessing, feature engineering, and model evaluation skills, he combines research-level AI knowledge (MSc from KTH) with pragmatic engineering from full-stack and data roles. Based in Stockholm, Ferran is passionate about simplifying data tracking through intelligent automation and quietly bridges academic teaching (TA at KTH) with industry impact.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at KTH Royal Institute of Technology
Bachelor's degree, Computer Science and Software Engineering, Bachelor's degree, Computer Science and Software Engineering at Universitat de Barcelona
Implementation from scratch of a neural network framework in Rust inspired by PyTorch
Contributions:3 PRs, 31 pushes, 2 branches in 6 months
neural-networkpytorchrust
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