Mohammad Mahdi Abdollahpour is a Member of Technical Staff and University of Toronto graduate student with nine years of experience applying deep learning to NLP, information retrieval, and computer vision. His research focuses on dense retrieval for item recommendation and controllable text generation—practical work that includes text detoxification—and he is exploring reasoning capabilities of large language models. Mahdi has industrial research experience from Ideogram and NUS, and built a Persian chatbot using encoder-decoder LSTMs with attention during an R&D internship. Comfortable bridging research and product, he combines academic rigor with hands-on engineering to move models toward real-world recommendation and moderation tasks.
9 years of coding experience
2 years of employment as a software developer
Amirkabir University of Technology
Master's degree, Master's degree at University of Toronto
Contributions:105 commits, 120 pushes, 1 branch in 4 years 1 month
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Mohammad Mahdi Abdollahpour - Member Of Technical Staff at Ideogram