Ateeq leads the Commercial Software Development division at Grimm. Ateeq has spent the last 15+ years designing and implementing commercial security software products used by numerous governments, banks, and companies. Ateeq has deep experience with advanced persistent threats, cryptography, computer network attack/ defense/ exploitation, and personal security products. He also has deep knowledge and experience in artificial intelligence, crawling, distributed design, fault tolerance, machine learning, pattern recognition, and theoretical Computer Science.
Ateeq holds a Master of Science in Computer Science from The George Washington University, a Bachelor of Science in Mathematics from Marymount University, as well as a Bachelor of Science in Computer Science from Marymount University. Current patents and publications:
- David Savage, Ateeq Sharfuddin, Tzu-Yi Lin, Benjamin Dagana. 2014. Detecting Malicious Software. US Patent 8,863,288.
- Ateeq Sharfuddin, Xiaofan Feng. 2012. A Consumer Application for GPGPUs: Desktop Search. 4th USENIX Workshop on Hot Topics in Parallelism (HotPar '12). USENIX, Berkeley, CA, USA.
- Ateeq Sharfuddin, Xiaofan Feng. 2010. Improving Boyer-Moore-Horspool using machine-words for comparison. In Proceedings of the 48th Annual Southeast Regional Conference (ACM SE'10). ACM, New York, NY, USA, Article 17.