Implemented advanced WAF configurations and rules, reducing security incidents by 40% , and significantly decreasing the risk of data breaches.Improved threat detection and response times by 30% through optimizing WAF settings and integrating real-time monitoring tools.Developed and refined over 150 custom WAF rules to address specific security vulnerabilities, improving application security coverage by 25%.

Developed and refined a CNN model for CCTV-based face recognition, achieving a 95% accuracy rate in identifying individuals in varied lighting and angles, leading to a 30% improvement over previous models.Enhanced a dataset with over 100,000 images, boosting our face recognition model's accuracy by 20% in crowded settings.