Bharathraaj Pandian

Designed a safe and secure home monitoring system that can prevent accidental fire and shorting of home components.

Designed and implemented an advanced threat detection system using Splunk and Elastic Stack to monitor real-time network traffic and detect suspicious activities.

Created a website so that hospital patient’s reports can easily be uploaded without any middleman.

Designed and implemented a Zero Trust Architecture using micro-segmentation and strong identity verification mechanisms to enhance security in enterprise networks.

Built a custom malware analysis sandbox using IDA Pro, Python, and virtualization tools to analyze malware behavior and reverse engineer malicious code.

Developed a toolkit to simulate phishing, pretexting, and baiting attacks in a controlled environment to train employees on recognizing social engineering threats.

Built a self-learning SOC assistant that uses LLMs to triage alerts, auto-write reports, correlate logs, and execute automated playbooks for incident response, integrated with SIEM and SOAR platforms.

Developed a threat intel system that breaks malware into “genetic markers” (API calls, encryption patterns, etc.), maps family evolution with graph databases, and enables defenders to predict unseen malware by genetic similarity on a web dashboard.

Created a cyber range simulating full APT attack chains for offense and defense, with automated attack scripts and real-time detection mapped to MITRE ATT&CK, plus a scoring engine to track team response effectiveness.