I'm a Computer Science undergraduate interested in cybersecurity, AI driven threat detection, digital forensics, and cloud security. Lets just say anything related to Computer Science and Security.
I build security projects to explore detection, investigation, automation, and reproducible security research, with a particular interest in APT detection and defensive security.
- 🔎 AI driven threat detection —> anomaly detection and security monitoring
- 🕵️ Digital forensics & APT investigation —> evidence analysis, timelines, and IOC investigation
- ☁️ Cloud security —> security controls, governance, and policy simulation
- 🔬 Reproducible security research —> evaluation methods for provenance based APT detection
- 🛡️ Open-source security —> contributing detection improvements to Wazuh
Preprint / Technical Report [submitted for peer review] —> 2026
A proposed evaluation protocol and unified scoring framework for provenance based security tools, focusing on reproducibility and comparable evaluation of APT detection approaches.
Topics: APT Detection · Provenance · Reproducibility · Security Evaluation
A web based digital twin for exploring cloud governance, security policies, cost estimation, threat detection, and remediation.
Focus: Cloud Security · FinOps · Security Governance · AI
An AI assisted SOC environment with threat scoring, MITRE ATT&CK mapping, real time events, and a reproducible 9-scenario benchmark suite.
Focus: SOC · Threat Detection · MITRE ATT&CK · Security Automation
A network intrusion detection project using Isolation Forest to identify anomalous traffic and present risk based investigation results.
Focus: Machine Learning · NIDS · Anomaly Detection · Python
A practical cloud security lab covering IAM, VPC, security groups, firewall controls, logging, monitoring, and backup.
Focus: Cloud Security · IAM · Defensive Security
A simulated APT investigation combining Autopsy, Volatility 3, Windows event logs, IOC analysis, evidence correlation, and MITRE ATT&CK mapping.
Focus: Digital Forensics · Incident Response · APT Investigation
A network focused investigation environment for examining suspicious traffic and APT related activity through network analysis and detection tooling.
Focus: Network Forensics · Wireshark · Zeek · Suricata
Contributed an upstream detection rule for repeated local PAM authentication failures, addressing repeated authentication attempts where a source IP may not be available.
Pull Request: Wazuh PR #38270
Security:
Wazuh · MITRE ATT&CK · Digital Forensics · Incident Response · Network Security · Cloud Security
Security Tools:
Autopsy · Volatility 3 · Wireshark · Zeek · Suricata
Programming & Development:
Python · Flask · React · JavaScript · SQL · Git
Data & AI:
Pandas · Scikit-learn · Isolation Forest · Anomaly Detection
- Google Cybersecurity Professional Certificate -> completed all 9 courses
- Huawei HCIA-Security V4.0 —> course completion
- TryHackMe SOC Level 2 —> practical SOC training
- Security Operations & Detection Engineering
- Advanced Network Traffic Analysis
- Digital Forensics & Incident Response
- AI applications in cybersecurity
Just a curious learner. :)