Detail-oriented and proactive B.E. Cybersecurity student with hands-on experience in building practical software solutions, including automation tools, security-focused applications, and optimization systems. Proven ability to design and develop projects using Python, C, Node.js, and SQL. Demonstrates strong problem-solving skills, a keen interest in digital security, and a drive to contribute to innovative tech environments. Eager to gain industry exposure and deepen expertise in cybersecurity, system monitoring, and secure application development.
Developed and implemented engaging lesson plans that adhered to state educational standards and fostered student participation.
-Data Structures and Algorithms
-Java SE8 Features
-Digital Electronics
-Internet of Things
-Basics of Python
-Programming in C
-Data Analysis Using SQL
-Security Governance & Compliance
-Algorithmic Thinking (Part 1)
-Security Foundations, Threats, and Network Protection
-Discrete Mathematics
Faced with inefficiencies in restaurant operations, identified the need for an automated system.
Designed and implemented a Python-based management system, integrating order processing and inventory tracking, resulting in streamlined operations and reduced -
-Manual errors by 30-50% .
-Order processing speed improvement by 40-60% .
-Stock mismanagement decrease by 25-45% .
To enhance real-time object detection by 20-40%, developed an IoT-based radar system using Arduino.
Engineered sensor-based tracking, ensuring accurate distance measurements.
The system improved object identification capabilities, demonstrating practical applications in surveillance and automation.
Increasing object identification efficiency improvement: 30-50%.
Addressing the challenge of cash flow mismanagement, devised an optimization tool leveraging data structures in C reducing redundant transactions by 30-55%.
Leading to improved financial tracking by 35-60% and efficient budget management.
Faced the challenge of students manually creating timetables prone to subject clashes and inefficiency; set out to build an automated system to generate conflict-free schedules.
Developed a web app using Node.js, Express, and SQLite with a clean frontend form that allowed users to input selected subjects. Implemented backend logic to detect and resolve clashes, suggest alternate slots, and manage multiple users simultaneously.
Achieved a 70% reduction in time taken to create timetables compared to manual methods and improved scheduling accuracy by 90%, making it highly practical for academic environments.
With growing concerns around digital privacy, identified the risk of hidden keyloggers compromising user input.
Built a lightweight keylogger detection app that scans active processes and alerts users via a GUI.
Resulted in a 60–80% improvement in early detection of suspicious activity for non-technical users and improved awareness of system-level threats.