Shiyam Sundar S

As an Associate Product Manager, I defined product scope and roadmap, leading cross-functional teams from concept to launch. I conducted user research and competitive analysis, resulting in a 25% improvement in user engagement. My role involved agile leadership, risk mitigation, and enhancing product security through market-driven insights.

In my role as a Security Operation Center Analyst, I conducted analyses of network traffic and vulnerabilities, implementing measures to enhance product security. I collaborated with various teams to design an AI-driven SOAR tool, improving incident response times by 30%.

As a Security Trainee in the Red Team, I conducted penetration testing to assess the security posture of applications and systems. My insights contributed to roadmap decisions, enhancing overall security measures.

Designed and implemented a locking mechanism to safeguard smart contracts from reentrancy attacks, improving blockchain security with minimal performance impact. Validated the solution on Ethereum using innovative function-locking and hashing techniques.

Developed a deep learning solution leveraging convolutional neural networks (CNN) to predict and classify knee osteoarthritis severity using X-ray and MRI datasets. Implemented automated detection based on the Kellgren-Lawrence grading system, improving accuracy and reliability in medical imaging analysis.