🚀 AI & RAG Systems Developer | Machine Learning | Backend Engineering
💡 Building intelligent, scalable systems using LLMs, Python, and modern web technologies

I’m a technology professional with a strong focus on Artificial Intelligence, Machine Learning, and Retrieval-Augmented Generation (RAG) systems.
I enjoy designing systems that combine data, intelligence, and practical engineering to solve real-world problems.

• 🔭 Currently working on AI-powered RAG applications
• 🌱 Exploring LLMOps, Vector Databases, and Advanced Prompt Engineering
• 🧩 Interested in open-source collaboration and real-world AI use cases
• 🎯 Goal: Build production-grade AI systems that are reliable and scalable

• Python
• JavaScript / Node.js
• Express.js
• REST APIs

• Machine Learning
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Prompt Engineering
• Embeddings & Vector Search

• MongoDB
• Vector Databases (FAISS / Chroma / similar)
• SQL

• Git & GitHub
• VS Code
• Docker (learning & usage)
• Kubernetes
• Linux Basics

🚧 Pinned repositories showcase my best work
(Each project focuses on clean code, real use cases, and scalability)

• 🔹 RAG-based AI Applications
• 🔹 AI Vision ML
• 🔹 Backend APIs with Node.js & MongoDB
• 🔹 ML & AI Experiments
• 🔹 Utility & Automation Scripts

👉 Check my pinned repositories below ⬇️

I’m open to:

• Open-source AI / ML projects
• RAG systems & LLM-based tools
• Backend-heavy applications
• Knowledge sharing & tech discussions

📫 Reach me at

• GitHub: https://github.com/associatenitin
• Twitter/X : https://x.com/Code_Nitin

⭐ If you like my work, consider starring a repository or starting a discussion!