University Teacher at Department of Computer and Systems Sciences (DSV) at Stockholm University
Stockholm, Sweden
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Summary
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Senior
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Thomas Vakili is a PhD-trained researcher and university teacher in Stockholm with a decade of experience at the intersection of NLP, deep learning, and data engineering. His doctoral work and publications focus on privacy-preserving NLP and the privacy risks of large language models, especially in clinical and health domains, and he has translated that research into teaching, supervision, and lab organization. Before academia he built production-grade data pipelines and backend services for companies like Spotify, PostNord and Truecaller, combining practical engineering (AWS, Kafka, Java/Spring) with machine learning and image-processing skills from crystallography and electron microscopy projects. He has a knack for turning privacy-aware research into deployable tools and synthetic-data methods from collaborative visits to Chilean research centers. Colleagues describe him as equally comfortable lecturing in academia and shipping robust data platforms in industry, bringing rigorous experimentation to real-world ML systems.
10 years of coding experience
4 years of employment as a software developer
Persian A & B, Persian A & B at Uppsala University
M.Sc., Computer Science and Engineering, M.Sc., Computer Science and Engineering at KTH Royal Institute of Technology
Doctor of Philosophy (Ph.D.), Computer Science and Natural Language Processing, Doctor of Philosophy (Ph.D.), Computer Science and Natural Language Processing at Stockholm University
Contributions:2 commits, 3 pushes, 1 branch in 1 year 10 months
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Thomas Vakili - University Teacher at Department of Computer and Systems Sciences (DSV) at Stockholm University