Per Fallgren is an AI/ML engineer and PhD-trained researcher with nine years’ experience building speech, NLP and multimodal systems, currently applying research-grade ML at Mölnlycke Health Care. His background in cognitive science and philosophy of mind informs a human-centered approach to large language models, speech processing, and music generation, grounded in empirical work from a KTH PhD on finding speech and humans-in-the-loop. He has industry experience from Amazon projects on multimodal sound classification and the Alexa Prize conversational AI, blending representation learning and few-shot methods with product-minded delivery. Per combines academic rigor—conference work and cross-disciplinary summer schools at Oxford and eNTERFACE—with practical engineering, making him adept at turning complex cognitive questions into deployable ML solutions. An often overlooked strength is his fluency across experimental design, teaching, and applied research, enabling rapid prototyping informed by human factors.
9 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Cognitive Science, Bachelor's degree, Cognitive Science at Linköpings universitet
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at KTH Royal Institute of Technology
22.5 Credits, Philosophy: Core Studies in the Arts and Sciences, 22.5 Credits, Philosophy: Core Studies in the Arts and Sciences at Lunds universitet
Master’s Degree, Cognitive Science, Master’s Degree, Cognitive Science at Linköping University
Contributions:11 commits, 11 pushes, 1 branch in 28 days
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Per Fallgren - AI ML Engineer at Mölnlycke Health Care