A South Sudanese dynamic cybersecurity professional with a strong foundation in software engineering and hands-on experience in network security, web application security, mobile and Digital Forensics. Aiming to leverage academic expertise and practical training to contribute to innovative cybersecurity solutions and strengthen organizational defenses. Possesses a proven ability to adapt quickly to new challenges and environments, underscored by commitment to continuous learning and professional growth.
As a Master's graduate in Cybersecurity from National Forensic Sciences University, Gujarat, India, I combine advanced technical skills with a forward-thinking approach to tackle evolving security threats. I am dedicated to strengthening digital ecosystems through strategic and robust security solutions.
My background spans both offensive and defensive security disciplines — from penetration testing and digital forensics to cloud security and mobile application hardening. I bring a methodical, research-driven approach to every engagement.
National Forensic Sciences University, Gujarat, India
Delhi Technological University, New Delhi, India
Delhi Technological University, New Delhi, India
Bor College High School, Bor, South Sudan
Langbaar Mixed Primary School, Bor, South Sudan
Automates aggregation and risk evaluation of security vulnerabilities from Jira, OWASP Dependency Track, Burp Suite, CodeQL, and GitHub Dependabot. Provides a visual traffic-light status (GREEN / ORANGE / RED) to indicate release safety based on predefined risk criteria.
Examines malicious software behavior in a controlled, isolated environment to understand runtime activities, attack vectors, and system impact. Identifies Indicators of Compromise (IOCs) and improves incident response strategies.
Systematic identification, collection, preservation, and analysis of digital evidence stored in cloud environments. Structured forensic approach for acquiring volatile and non-volatile artefacts while maintaining data integrity and legal admissibility.
Investigates and secures Voice over IP communications by identifying malicious activities, vulnerabilities, and attack patterns. Detects fraud, eavesdropping, SIP-based attacks, and call manipulation in real-world VoIP environments.
Machine learning–based system to identify and classify malicious URLs used in phishing attacks. Enhances cybersecurity defenses by automatically detecting fraudulent websites before users interact with them.
Secure client-server application using OpenSSL to establish encrypted communication channels. The server transmits real-time system information to connected clients over an SSL/TLS encrypted connection.
Intelligent, IoT-based solution to optimize parking space management and reduce traffic congestion in urban areas. Leverages embedded systems, sensors, and real-time data processing to monitor slot availability and provide instant updates to users.
Predictive model to estimate vehicle prices based on brand, model, year, mileage, fuel type, transmission, and engine capacity. Assists buyers and sellers in determining fair market values.
Comprehensive application to store, manage, and secure student information. Enables authorized users to perform CRUD operations while ensuring data integrity and confidentiality through built-in security mechanisms.
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