KHAJA YASSERUDDIN
COMPUTER SCIENCE ENGINEER GRADUATE
Hyderabad,TG
Summary
Cybersecurity professional with focus on research and threat analysis. Proven track record in identifying potential security risks and contributing to effective mitigation strategies. Known for collaborative teamwork and adaptability in dynamic environments, leveraging skills in threat intelligence and security protocol development.
Overview
3
3
Languages
Work History
Cybersecurity Research Intern
Professional Solidarity Forum
06.2024 - 11.2024
- - Conducted vulnerability assessments and security testing on web applications.
- - Demonstrated XML External Entity (XXE) and Server-Side Request Forgery (SSRF) vulnerabilities in controlled environments.
- - Developed proof-of-concept exploit scenarios, and recommended security improvements.
- - Gained practical experience in cybersecurity, system analysis, and risk mitigation.
Education
Bachelor of Engineering - Computer Science (Artificial Intelligence and Machine Learning)
01-2025
GPA: 7.4 / 10
Intermediate - Class XII
01-2021
Percentage: 70%
Secondary School Certificate - Class X
01-2019
GPA: 7.8 / 10
Skills
Programming Languages: Python, SQL, Java, C, C
Technologies: Machine Learning, Data Analysis, Artificial Intelligence
Tools: Pandas, NumPy, TensorFlow
Systems: Linux, Cloud Computing Basics
PROJECTS
Credit Card Fraud Detection System
JULY 2024
- Developed a robust credit card fraud detection app aimed at safeguarding financial transactions by leveraging advanced machine learning algorithms to identify fraudulent patterns in real-time. It aims at reducing false positives, improving detection accuracy, and ensuring seamless user experience while enhancing financial security for users and businesses. Languages Used - Machine Learning
Agriculture Soil Analysis, Classification and Crop Suitability Recommendation
MAY 2025
- Developed an AI-driven system using machine learning for soil classification and crop suitability prediction. Implemented CNN models with TensorFlow to enhance plant species recognition accuracy and improve precision agriculture efficiency. Conducted experiments to optimize training datasets and model performance.
Tools: Python, TensorFlow, Machine Learning, Deep Learning
Timeline
Cybersecurity Research Intern - Professional Solidarity Forum
06.2024 - 11.2024
Lords Institute of Engineering And Technology - Bachelor of Engineering, Computer Science (Artificial Intelligence and Machine Learning)
Sri Chaitanya Junior College - Intermediate, Class XII
Sri Chaitanya School - Secondary School Certificate, Class X