Mohamed Afifi Ibrahim
About Mohamed Afifi Ibrahim
Mohamed Afifi Ibrahim is a Principal Machine Learning Engineer at Barracuda in the San Francisco Bay Area, with a strong background in machine learning and cybersecurity.
Current Role at Barracuda
Mohamed Afifi Ibrahim is currently employed as a Principal Machine Learning Engineer at Barracuda, located in the San Francisco Bay Area. In this role, he employs his extensive expertise in machine learning to enhance the company's AI-driven security solutions. His responsibilities include developing advanced algorithms to improve predictive models, deploying machine learning models for email security, and integrating Databricks Feature Store and Managed MLflow to streamline machine learning processes. He has also significantly contributed to the company's ability to detect and block impersonation phishing attacks through his work on building classification models.
Previous Experience at Barracuda
From 2018 to 2021, Mohamed Afifi Ibrahim served as a Senior Machine Learning Engineer at Barracuda in the San Francisco Bay Area. During his tenure, he played a pivotal role in advancing machine learning algorithms that substantially improved the accuracy of predictive models. His efforts were directed toward enhancing the detection rate of phishing attacks by leveraging Databricks technology. Additionally, he mentored junior engineers and interns, aiding them in developing their skills in machine learning and data science.
Academic Background and Research
Mohamed Afifi Ibrahim holds a Doctor of Philosophy (PhD) in Electrical and Computer Engineering from Michigan State University, achieved between 2014 and 2019. He also holds a Master's degree (M.Sc.) and a Bachelor's degree (B.Eng.) in Electrical, Electronics, and Communications Engineering from the Arab Academy for Science, Technology and Maritime Transport. His academic career includes publishing multiple research papers in machine learning and artificial intelligence and receiving the 'Outstanding Researcher Award' from Michigan State University for his contributions to the field.
Conference Presentations and Industry Contributions
Mohamed Afifi Ibrahim has shared his insights and expertise at several prestigious conferences. In 2019, he presented on deep learning techniques at the International Conference on Machine Learning (ICML). He also participated as a speaker at the IEEE International Conference on Data Mining (ICDM), discussing the applications of machine learning in data security. These contributions have solidified his standing in the machine learning and data science communities.
Publications and Patents
Mohamed Afifi Ibrahim has an impressive record of contributions to the field of machine learning, including publishing numerous research papers during his time at Michigan State University. He holds a patent for a novel machine learning method used in cybersecurity applications, showcasing his capability to innovate and push the boundaries of the field. Additionally, he has published an article on Barracuda's use of machine learning on Databricks Lakehouse to prevent email phishing attacks, further affirming his expertise in applying machine learning to real-world problems.