Pedram Daee
Member Of Technical Staff at Qutwo
Espoo, Finland
Summary
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Senior🎓
Top SchoolPedram Daee is a D.Sc. in Probabilistic Machine Learning and an AI practitioner with 11 years of experience building production-grade ML systems that bridge human-in-the-loop research and industrial scale. He has led AI teams and shipped transformer-based NLP/OCR pipelines that process over 20,000 documents daily, and designed multi-objective ad optimization algorithms that balance revenue with user experience. Currently a Member of Technical Staff at Qutwo, he works at the intersection of AI and quantum computing, bringing both research rigor and product-focused engineering. Pedram’s background as a university researcher and educator informs a measured approach to interactive AI, and he often combines probabilistic modeling with practical deployment patterns to solve messy, real-world data problems.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Aalto UniversityMaster's Degree, Artificial Intelligence, Master's Degree, Artificial Intelligence at University of TehranBachelor's Degree, Computer Engineering - Software, Bachelor's Degree, Computer Engineering - Software at Ferdowsi University of Mashhad
Persian, EnglishGithub contributions (5)
HIIT/knowledge-elicitation-for-linear-regression
Jan 2016 - Jul 2017
Contributions:143 commits, 17 pushes, 1 branch in 1 year 6 months
HIIT/human-overfitting-in-IML
Sep 2017 - Mar 2018
Contributions:26 commits, 3 pushes in 6 months
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