<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" xml:lang="en"><generator uri="https://jekyllrb.com/" version="4.3.3">Jekyll</generator><link href="https://mamad.ai/feed.xml" rel="self" type="application/atom+xml"/><link href="https://mamad.ai/" rel="alternate" type="text/html" hreflang="en"/><updated>2024-12-15T03:51:04+00:00</updated><id>https://mamad.ai/feed.xml</id><title type="html">Mohammad Mahdi Mohajer</title><subtitle>Mohammad Mahdi Mohajer is a York University master&apos;s graduate based in Toronto. He contributed to 10 research projects in Machine Learning for Software Engineering (ML4SE) under the supervision of Prof. Song Wang, with his work published in reputable venues such as TOSEM, AIware, and SIGIR. His research primarily focuses on fuzzing, static bug detection, and assurance cases. During these projects, he identified real-world bugs in prominent repositories like TensorFlow and PyTorch, later confirmed and fixed by their respective development teams. Before his master&apos;s, Mohammad worked as a full-stack software developer and founded his own startup in his home country. Currently, he is an AI Software Engineer in Canadian industry, utilizing his expertise in Generative AI and Machine Learning for industries such as healthcare. </subtitle></feed>