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Vignesh-2605/README.md

💫 About Me:

🔭 Exploring: AI/ML-driven threat detection systems, cloud-native data analytics pipelines, and intelligent full-stack learning platforms using React, Node.js, and FastAPI — merging data, intelligence, and design into seamless experiences.

👨‍💻 Recent Work: Engineered and deployed end-to-end AI systems integrating generative models, RAG pipelines, agentic workflows, full-stack automation, and modular LangChain–Gradio architectures for scalable, real-time intelligence.

👯 Collaborating On: Projects that combine AI research with scalable backend architectures — model deployment, RAG systems, generative agents, and data-driven apps.

🤝 Open To: Advancing deep learning model optimization, inference acceleration, and federated learning systems for secure, distributed AI.

🌱 Currently Learning: Distributed AI with TensorFlow Federated, MLOps on Vertex AI, LangGraph for agent orchestration, and advanced system design for cloud-native environments.

💬 Tech Stack: Python | TypeScript | React | Angular | FastAPI | Node.js | LangChain | Google Gemini | Hugging Face | TensorFlow | MongoDB | SQL | FAISS | GCP | REST APIs | Full-Stack & Agentic Architectures.

⚡ Fun Fact: My commits hit like a Vandal headshot — clean, fast, and game-changing. Whether it’s debugging an AI pipeline or optimizing a backend spike, I always get the defuse done. 🚀

🌐 Socials:

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💻 Tech Stack:

C C++ HTML5 JavaScript CSS3 R Python TypeScript Netlify Vercel Bootstrap Express.js React Streamlit TailwindCSS WordPress Vite MongoDB MySQL Canva Figma Matplotlib NumPy Pandas scikit-learn PyTorch Git GitHub TensorFlow OpenAPI Specification Jira Notion Postman Docker

📊 GitHub Stats:



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