AI Security Architect | Systems & Defense Engineer | Security Researcher
status: active_research • domain: autonomous_defense • kernel: linux
I am an engineer and researcher operating at the convergence of Artificial Intelligence, Cybersecurity, Autonomous Defense Systems, and High-Performance Distributed Infrastructure.
I view every system limitation as an engineering problem waiting to be solved. My work spans the complete security engineering lifecycle: from analyzing binary threats and evaluating the attack surface of large language models, to engineering real-time sensor fusion pipelines and autonomous decision-support architectures for defense and security operations.
- 🛸 Autonomous Defense & UAS / C-UAS Tech: Engineering AI-assisted situational awareness tools, Counter-Unmanned Aerial Systems (C-UAS) telemetry pipelines, and edge AI models for drone threat identification.
- 📡 High-Performance Sensor Fusion: Developing low-latency data ingestion systems processing multi-source intelligence feeds and high-volume surveillance telemetry.
- 🛡️ LLM Guardrails & Adversarial AI: Researching red-teaming methodologies, prompt-injection defense mechanisms, and runtime safety evaluation for autonomous AI agents.
- ⚙️ Distributed Security Infrastructure: Building fault-tolerant, zero-trust cloud-native networks and edge deployment architectures.
| Domain | Certification | Accreditation / Body |
|---|---|---|
| 🛡️ AI & LLM Security | CLLMSE – Certified LLM Security Expert | Professional AI Security Standard |
| 🛡️ AI & LLM Security | CAISR – Certified Artificial Intelligence Security & Risk | AI Risk & Governance |
| 🛡️ AI & LLM Security | TCM Security – AI Pentester | TCM Security |
| 🛡️ AI & LLM Security | TCM Security – AI 100 Fundamentals | TCM Security |
| ⚔️ Offensive Ops | CRTOM – Certified Red Team Operations Management | Red Team Management Standard |
| ⚔️ Offensive Ops | EEH – Ethical Hacking Expert | Cyber Security Accreditations |
| ⚔️ Offensive Ops | VAPT – Vulnerability Assessment & Penetration Testing | Practical Security Standards |
| 📡 Threat Intel | CTIGA – Certified Threat Intelligence & Governance Analyst | Threat Governance Council |
| 🔬 Malware & Forensics | PJMR – Junior Malware Researcher | Malware Research Certification |
| 🔬 Malware & Forensics | TCM Security – Practical Malware Analysis & Triage | TCM Security |
| 🛡️ Defensive Ops | TCM Security – Detection Engineering | TCM Security |
| 🛡️ Defensive Ops | TCM Security – SOC Level 1 & Level 2 | TCM Security |
| 🛡️ Defensive Ops | CCSA – Cybersecurity Analyst | Cybersecurity Analyst Standard |
| ☁️ Cloud Security | Cloud Security Specialist (AWS + Azure) | Multi-Cloud Defense |
| 🎓 Leadership | CCEP – Certified Cybersecurity Educator Professional | Professional Educator Board |
A real-time sensor fusion ingestion engine designed for unmanned aerial system telemetry analysis and anomaly detection.
- Impact: Enables rapid threat classification across distributed edge nodes using computer vision and RF signal telemetry.
- Tech Stack: C++, Python, PyTorch, ROS2, Docker, eBPF.
- 🔗
repo-link
A dynamic security testing harness for probing large language models against jailbreak vectors, prompt injections, and indirect data exfiltration.
- Impact: Provides automated continuous evaluation against the OWASP Top 10 for LLM Applications.
- Tech Stack: Python, LangChain, Hugging Face, Transformers, REST API.
- 🔗
repo-link
An automated static and dynamic malware triage environment for extracting high-confidence behavioral telemetry.
- Impact: Automates YARA rule generation, PE/ELF memory carving, and dynamic execution tracing.
- Tech Stack: C++, Python, Ghidra API, Volatility, Linux Containers.
- 🔗
repo-link
Continuous posture evaluation and policy enforcement engine for Kubernetes cluster security and IaC configurations.
- Impact: Prevents misconfigurations in real-time CI/CD deployment pipelines before runtime release.
- Tech Stack: Go, Bash, Kubernetes API, Terraform, GitHub Actions.
- 🔗
repo-link
┌─────────────────────────────────────────────────────────────────────────────────┐
│ [01] LLM Security & Adversarial ML │ Prompt Injection, Jailbreaks, Model Safety│
│ [02] Autonomous Defense & C-UAS │ Sensor Fusion, Drone Intel, Edge AI │
│ [03] Kernel & eBPF Telemetry │ Low-Overhead Runtime Container Inspection │
│ [04] Cyber Range & Threat Emulation │ Automated Adversary Simulation & SIEM Rules│
│ [05] Human-AI Collaboration │ Decision-Support Systems for Security Ops │
└─────────────────────────────────────────────────────────────────────────────────┘
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