INTERNATIONAL BEST INNOVATION AWARD
SoftwareDevelopmentEngineer-2 , Amazon
I’m a software developer and researcher with a strong focus on cloud security and large-scale distributed systems. Most of my work revolves around malware detection and designing cloud infrastructure that actually holds up when things get heavy. Over the years, I’ve worked on systems that process millions of files and events on a daily basis. The goal has always been pretty simple – make sure harmful or malicious content doesn’t get through, while still keeping the system fast and reliable. A lot of my focus has been on improving detection efficiency, reducing delays, and making sure things don’t break under pressure. One area I’ve spent quite some time on is understanding how large-scale systems behave under unpredictable workloads. This connects closely with some of my research interests as well, especially around applying data-driven and AI-based approaches to improve system reliability and security. I’ve explored problems like handling high-throughput environments, making systems more adaptive, and keeping them efficient without adding unnecessary complexity. Alongside engineering, I’ve also been involved in research, mainly around applying AI in cybersecurity. I’ve worked on topics like detecting threats in encrypted traffic without actually decrypting it, identifying insider threats using behavioral patterns, and understanding how AI-generated malware is changing the threat landscape. I usually try to keep my research practical – something that can actually be used in real systems, not just theory. I also do peer reviews for a few international journals and conferences. It’s something I enjoy because it keeps me connected to what others are working on and helps me learn along the way. I have a Master’s in Data Science and a Bachelor’s in Electronics and Communication Engineering. I’m honored to have received the International Best Research Award in Malware Threat Detection, which means a lot and reflects the journey so far. For me, it’s always been about building systems that are not just scalable, but also make sense in real-world use.