Ateeq is SCYTHE's VP of Engineering and leads the company’s Commercial Software Development division. He spent the last 15+ years designing and implementing commercial security software products used by numerous governments, banks, and enterprises. Ateeq has deep experience developing solutions for advanced persistent threats, cryptography, computer network attack/defense/exploitation, as well as personal security and privacy. He also has vast knowledge and experience using artificial intelligence, crawling, distributed design, fault tolerance, machine learning, pattern recognition, and theoretical Computer Science to support engineering and development efforts.
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.