SHRINIVAS G KULKARNI

Dynamic cybersecurity intern at GIT IT Academy, adept in analyzing malware behavior and recommending robust defensive measures. Proficient in networking and risk assessment, I excel in enhancing system security through effective firewall management and strategic endpoint hardening. Committed to safeguarding systems while leveraging strong analytical skills to mitigate threats.

A wearable smart device using sensors to track vital health parameters.
Security-Relevant Outcome: Exposure to embedded system data flows and real-time alert systems.
Role: System logic development, data acquisition integration.

Developed a 3D simulation using OpenGL with camera control and rendering techniques.
Relevance: Showcases logic building, visualization, and system design skills.

Analyzed the behavior of njRAT, focusing on:

• Remote code execution
• Keystroke monitoring
• File manipulation
• Unauthorized access techniques
  Outcome: Learned how real cyber threats operate, how to document them, and how to propose mitigation strategies — matching CloudSEK’s incident analysis work.

An IoT-based system designed to detect abnormal movement patterns associated with Parkinson’s disease and identify potential fall events.
Key Features:

• Utilizes motion sensors to continuously monitor patient activity.
• Detects irregular movement patterns using threshold-based logic in Embedded C.
• Automatically alerts caregivers or medical personnel in real time to ensure timely assistance.
  Relevance: Demonstrates expertise in sensor-based systems, real-time monitoring, and safety-critical design.

Date of Birth: 09/04/03

Address:Hno 23 Bilagi plot Mayuri Ext Hubli