Mahir Seth

Results-driven Cyber Security and IT professional pursuing a Bachelor of Information Technology (Cyber Security) at Deakin University, with hands-on experience in intrusion detection, network monitoring, and secure system design. Proven ability to analyze and mitigate vulnerabilities, having developed a machine-learning-based Intrusion Detection System achieving 94% accuracy during internship. Demonstrated leadership and full-stack expertise as a Senior Lead in a university capstone, implementing secure authentication and backup code systems. Skilled in SIEM-style traffic analysis (Wireshark), threat intelligence integration, and incident response documentation. Recognized for strong collaboration, communication, and problem-solving in dynamic, cross-functional environments. Seeking to contribute to Menzies Aviation’s cybersecurity operations by applying technical expertise and analytical precision to protect critical systems.

• Security & Analysis: Intrusion Detection (IDS/IPS) · Wireshark · Packet Capture · Threat Intelligence (AbuseIP DB) · Malware & Log Analysis · Ethical Hacking (Theory)
• Programming & Automation: Python · Java · Kotlin · C++
• Machine Learning: Random Forest · PCA · Data Preprocessing · Model Evaluation
• Frontend & Tools: Android Studio · XML · Streamlit · Git · GitHub
• Frameworks & Practices: Agile Methods · Risk Assessment · Incident Reporting · Technical Documentation

Co-Worker – Stock Replenishment

IKEA – Richmond, VIC

Aug 2025 - Present

• Replenish and organize over 250+ stock items daily across multiple warehouse zones, maintaining 98% shelf accuracy to ensure on-time product availability.
• Collaborate with logistics and inventory teams to optimize restock cycles, reducing product shortages and overstock incidents by 15%.
• Operate handheld scanning systems and follow FIFO and safety protocols, contributing to improved workplace efficiency and compliance standards.

Operations Assistant

Direct Freight Express-Dandenong South, VIC

Aug 2024- Aug 2025

• Managed over 300 daily freight entries using PDA scanners and custom logistics software, maintaining 100% tracking accuracy
• Resolved 20+ weekly freight issues and produced efficiency reports that supported SLA breach reduction by 30%
• Identified freight classification mismatches and streamlined dock zone planning across 8 areas

Cyber Security Intern

MITS Solution – Network Flow Intrusion Detection System Project

Jul 2025 - Sep 2025

• Developed a machine-learning-based Intrusion Detection System (IDS) using Random Forest and live network flow data, achieving 94.2% accuracy and a 2.3% false positive rate, improving real-time network monitoring efficiency.
• Integrated external threat intelligence sources (AbuseIP Database) for IP reputation checks and dynamic alerts, enhancing the system’s ability to detect malicious IPs and domains.
• Collaborated with mentors to design a Streamlit-based dashboard for real-time traffic visualization and alert reporting, improving decision-making and team communication.
• Conducted packet capture analysis using Wireshark to validate detection performance and troubleshoot anomalies.