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Deeps72-ux/README.md

Hi there 👋 I’m Deepan

I’m a Full-Stack Web Developer integrating AI systems—someone who enjoys building reliable software and understanding what’s really happening under the hood. I like clean architectures, well-designed APIs, and AI systems that are reliable.


🔭 What I’m working on

  • Building production-grade full-stack applications with modern frontend and backend stacks
  • Designing Agentic AI + RAG systems using LangGraph, LangChain, and LlamaIndex
  • Integrating secure authentication & authorization using Keycloak
  • Optimizing APIs, database schemas, and system boundaries for scale and clarity

🌱 What I’m currently learning

  • Deep internals of Agent-based AI workflows and graph-driven reasoning
  • RAG architectures: chunking strategies, embedding design, and retrieval evaluation
  • Performance tuning in PostgreSQL and backend services
  • Type-safe frontend patterns in React + TypeScript

👯 Open to collaborating on

  • Full-stack projects with real users and real constraints
  • AI-powered developer tools, internal platforms, or knowledge systems
  • Cleanly architected backend systems (REST / async workflows / auth flows)

🤔 Looking for help with

  • Large-scale system design discussions
  • Evaluating AI system reliability and failure modes
  • Trade-offs between different RAG and agent orchestration strategies

💬 Ask me about

  • Full-stack system design
  • Backend APIs with Django
  • Agentic AI, RAG pipelines, and embeddings
  • Debugging complex systems (software and ideas)

📫 How to reach me


🧠 Tech Stack Overview (Current Project)

Layer Technology Purpose
Frontend React + TypeScript + Node.js Type-safe, scalable UI with modern component architecture
Backend Django (Python) REST APIs, business logic, async task handling
Database PostgreSQL Relational data modeling, transactional integrity
Authentication Keycloak OAuth2 / OIDC-based authentication & role-based access control
API Testing Postman Contract testing, regression testing, API validation
AI / ML LangGraph Agent orchestration using graph-based workflows
LangChain LLM pipelines, tools, memory, and chaining
LlamaIndex Retrieval-Augmented Generation (RAG), indexing, document intelligence

🛠 Languages & Tools


⚡ Fun fact

I enjoy understanding HOW systems work—not just their results. Software is more fun when you treat it like applied philosophy with a compiler.

Popular repositories Loading

  1. Deep Deep Public

    Github status

  2. Pipeline-Pumping Pipeline-Pumping Public

    To describe the basic functionality of a pipeline maintenance

    JavaScript

  3. Portfolio-website Portfolio-website Public

    Personal website

    TypeScript

  4. RAG-model RAG-model Public

    Retrieval augmented generation model

    Python

  5. Deep-Learning-basic-01 Deep-Learning-basic-01 Public

    To understand artificial intelligence

    Python

  6. Data_Structures_and_Algorithms_Cpp Data_Structures_and_Algorithms_Cpp Public

    My codes in C++ related to data structures and algorithms