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Adithyan-Defender/README.md

     


$ whoami

I build secure AI-powered systems — combining LLMs, penetration testing, and backend engineering to create systems that are intelligent, resilient, and auditable.

  ┌─ focus areas ──────────────────────────────────────────┐
  │  🔐  LLM Security  ·  prompt injection  ·  agent abuse  │
  │  🧪  Secure RAG  ·  retrieval filtering  ·  data bounds  │
  │  🌐  OWASP  ·  Web/API pentesting  ·  secure arch        │
  │  📡  Detection engineering  ·  SIEM  ·  incident resp    │
  └────────────────────────────────────────────────────────┘

$ cat stack.sh


Domain Tools
🤖 AI / LLM PyTorch · RAG · LangChain · Guardrails · Evaluation
🔐 Security OWASP · Web/API Pentesting · Threat Modeling · Hardening
⚙️ Backend FastAPI · Django · PostgreSQL · Secure Auth · Observability
🏗️ Infra Docker · Linux · CI/CD · Least-Privilege Deployments

$ ls projects/


🤖 AI Pentest / LLM Security Model LLM-powered automated pentesting with RAG-assisted context building, structured findings, and security-first orchestration. Python LangChain FastAPI RAG Docker


🎙️ Secure AI Voice Assistant FastAPI backend with LLM orchestration, input validation, policy enforcement, and full observability for traces & auditing. FastAPI PyTorch PostgreSQL OAuth2 Docker


🔍 Vulnerability Research Hands-on exploitation & remediation — SQLi, XSS, auth bypass, misconfigurations, and insecure defaults. Burp Suite OWASP ZAP SQLMap Python

$ ./metrics.sh


 




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