I work at the intersection of Blue Team Operations, Artificial Intelligence, and Systems Engineering.

My research philosophy is simple:

Deep understanding is more valuable than memorizing implementation steps. Better data consistently outperforms bigger models. Every configuration should be explainable rather than blindly replicated.

My interests include:

• Detection Engineering
• Security Operations Centers (SOC)
• Digital Forensics
• Applied Machine Learning
• Retrieval-Augmented Generation (RAG)
• AI Systems
• Linux Systems Engineering
• Offensive Security Research

Designed and deployed a complete LAN-based Security Operations Center using Wazuh, Ubuntu, Kali Linux, and Windows 10 endpoints. Developed custom XML detection rules, correlated cross-platform security events, and implemented automated brute-force mitigation using native iptables active responses.

Developed production-oriented machine learning workflows for Amazon product price prediction, benchmarking statistical baselines against Random Forest, XGBoost, and specialized local Deep Neural Networks.

Designed modular Retrieval-Augmented Generation pipelines featuring:

• Semantic retrieval
• Intelligent chunking
• Query rewriting
• Embedding optimization
• Evaluation metrics
• Context-aware inference

Co-developed a physical enterprise network simulation reproducing a complete intrusion lifecycle:

• Initial foothold
• Credential interception
• NTLM relay
• Lateral movement
• Honeypot interaction
• Detection engineering validation

The project bridges offensive tradecraft with defensive visibility to study attacker behavior from a Blue Team perspective.

A secure, full-stack platform for collaborative Capture The Flag documentation.

Features end-to-end encrypted writeup storage designed for security teams requiring confidentiality while collaborating during competitions.

An automated attack-simulation framework that models enterprise infrastructures as vulnerability graphs.

The project focuses on understanding attack paths, privilege escalation opportunities, and defensive prioritization through graph-based security analysis.

• Detection Engineering
• AI for Defensive Security
• Retrieval-Augmented Generation
• Large Language Models
• Digital Forensics
• SIEM Engineering
• Threat Detection
• Vulnerability Graph Analysis
• Network Defense
• Linux Systems
• Applied Machine Learning

I continuously improve practical skills through structured security research and hands-on labs.

Current platforms include:

• Hack The Box
• pwn.college
• TryHackMe
• PicoCTF

Outside technical work, I enjoy painting and crocheting. Both provide a deliberate contrast to analytical problem solving and help maintain a balance between creative thinking and systems engineering.