DEEPU A

AI Security Architect | Systems & Defense Engineer | Security Researcher

status: active_research  •  domain: autonomous_defense  •  kernel: linux

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[core::overview] Executive Briefing

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.

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[core::focus] Current Initiatives & Defense Engineering

• 🛸 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.

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[spec::stack] Technical Expertise Matrix

💻 Programming Languages

🧠 AI, ML & LLM Engineering

⚔️ Offensive Security & Red Teaming

🛡️ Defensive Security, SOC & Detection Engineering

🔬 Reverse Engineering, Binary Triage & Forensics

☁️ Cloud, Infrastructure & Embedded Edge

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[cert::vault] Professional Certifications

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

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[lab::projects] Featured Systems & Projects

🛸 Autonomous UAS / C-UAS Threat Detection Pipeline

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

🤖 Autonomous LLM Red-Teaming & Guardrails Engine

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

🔬 Heuristic Binary Triage & Sandbox Pipeline

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

☁️ Cloud-Native Zero Trust Guardrail System

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

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[res::interests] Research Vectors

┌─────────────────────────────────────────────────────────────────────────────────┐
│ [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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[sys::metrics] Activity & Operational Telemetry

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[comm::channels] Secure Communication