Peyman Kiasari is a PhD student and researcher based in Waterloo with nine years of software and ML experience focused on ConvNets, generalization, and large language models. He combines academic rigor from roles at TU Wien and the University of Waterloo with practical NLP engineering—building widely used tooling like the Gutenberg-cleaner package and conducting aspect-based sentiment analysis in industry co-ops. He has taught core CS courses (NLP, databases, software design) and explored creative ML applications such as using LLMs and VAEs to generate poetic text. Comfortable moving between research and production, he brings a friendly, developer-first mindset to complex modeling and reproducible tooling.
9 years of coding experience
2 years of employment as a software developer
Bachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at Sharif University of Technology
Diploma of Education Mathematics and Physics, Diploma of Education Mathematics and Physics at National Organization for Development of Exceptional Talents (Sampad)
Master's degree Management Information Systems General, Master's degree Management Information Systems General at University of Waterloo
Contributions:2 releases, 5 PRs, 9 pushes in 3 years 7 months
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Peyman Kiasari - PHD Student at Technische Universität Wien