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Focusing on AI & CYBER SECURITY
🎯
Focusing on AI & CYBER SECURITY
3 followers · 3 following

Achievements

Achievement: Pull SharkAchievement: YOLO

Achievements

Achievement: Pull SharkAchievement: YOLO

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ragibalikhan/README.md 
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> whoami --verbose

AI Engineer · Cybersecurity · Full Stack Developer

Building intelligent, secure systems — LLM pipelines, autonomous agents, and exploit-resistant applications.

Portfolio LinkedIn X Instagram

> cat identity.json

{
  "name": "Ragib Ali",
  "handle": "ragibalikhan",
  "year": 2026,
  "roles": ["AI Engineer", "Cybersecurity Engineer", "Full Stack Developer"],
  "currently_building": [
    "Multi-agent autonomous systems",
    "Production RAG pipelines",
    "LLM fine-tuning on domain data"
  ],
  "currently_learning": [
    "MCP Protocol (Model Context Protocol)",
    "LLM Red Teaming & AI Security",
    "LoRA / QLoRA fine-tuning",
    "Multimodal AI systems"
  ],
  "philosophy": "Red team the model. Secure the pipeline. Ship the product.",
  "open_to": ["AI Research Collabs", "Freelance AI Engineering", "Open Source AI"]
}

> ls ./ai-stack/ --2026

🧠 LLMs & Foundation Models

OpenAI Claude Gemini LLaMA Mistral DeepSeek Qwen

🤖 Agents & Orchestration

LangChain LangGraph AutoGen CrewAI MCP Semantic Kernel OpenAI Agents SDK

🗄️ RAG & Vector Databases

Pinecone Weaviate Qdrant LlamaIndex Chroma FAISS pgvector

⚙️ Training & Fine-tuning

PyTorch HuggingFace LoRA Unsloth TRL PEFT Axolotl

🚀 AI Infra & Serving

Ollama vLLM LiteLLM Groq BentoML Modal Together AI

🔐 AI Security & Evals

Prompt Injection Garak LLM Red Teaming Adversarial ML RAGAS DeepEval LangSmith

> ls ./core-stack/

Languages

Python TypeScript Rust Go JavaScript C++

Full Stack

React Next.js FastAPI Node.js TailwindCSS Django Flutter

Databases & Cloud

PostgreSQL MongoDB Redis AWS GCP Docker

> cat learning.log

[Q2 2026] >> Multi-Agent Systems & MCP Protocol
           >> Building autonomous agent networks with tool use, memory & planning

[Q1 2026] >> LLM Fine-tuning — LoRA / QLoRA / Unsloth
           >> Domain adaptation & RLHF on consumer hardware

[Q4 2025] >> Production RAG Pipelines
           >> Hybrid search, reranking, guardrails (LlamaIndex + Qdrant + LangGraph)

[Q3 2025] >> AI Red Teaming & LLM Security
           >> Prompt injection, jailbreaks, model fingerprinting & adversarial robustness

[Q2 2025] >> Agentic AI — LangGraph + CrewAI
           >> Tool-calling agents, memory systems, multi-step reasoning loops

> ./stats.sh

GitHub Stats

Top Languages

GitHub Streak

> ./trophies --display

Trophies

> ping ragib --connect

Open to AI research collabs, LLM engineering roles, and building things that matter.

Portfolio LinkedIn X

# 2026 motto
agent = AIEngineer(
    skills=["LLMs", "Agents", "RAG", "Security", "Full Stack"],
    mode="autonomous",
    mission="build AI that's powerful, safe, and actually useful"
)
agent.run()  # >> shipping...

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