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Dakshmrigwani/README.md

Hi, I'm Daksh πŸ‘‹

Full Stack Developer | AI Engineer

I build scalable web applications, backend systems, and AI-powered applications.

I work primarily with TypeScript, JavaScript, Python, React, Node.js, FastAPI, PostgreSQL, and modern AI/LLM technologies.


⚑ What I Do

  • Build full-stack web applications
  • Design and develop REST APIs
  • Build backend services with Node.js and FastAPI
  • Design PostgreSQL, MongoDB and Redis based systems
  • Integrate LLMs and AI capabilities into applications
  • Build RAG and agentic AI workflows
  • Work with authentication, RBAC, rate limiting and webhooks
  • Optimize APIs, database queries and application performance
  • Containerize and deploy applications with Docker and AWS

🧠 Core Skills

Languages

TypeScript JavaScript Python SQL

Frontend

React.js Next.js Redux Toolkit TanStack Query Tailwind CSS shadcn/ui Material UI

Backend

Node.js Express.js FastAPI Pydantic REST APIs JWT OAuth 2.0 Webhooks

Databases

PostgreSQL MongoDB MySQL Redis Prisma SQLAlchemy

AI / LLM

OpenAI API Claude API LangChain LangGraph RAG Prompt Engineering AI Agents Function Calling

DevOps

Docker AWS GitHub Actions CI/CD Nginx


πŸ—οΈ Engineering Areas

  • REST API Architecture
  • Microservices
  • Authentication & Authorization
  • RBAC
  • Rate Limiting
  • Caching
  • Database Optimization
  • Real-time Systems
  • Payment Integrations
  • Webhooks
  • Background Jobs
  • API Security
  • CI/CD
  • Clean Architecture
  • SOLID Principles

πŸ€– AI Engineering

Currently focused on building practical AI systems rather than just integrating chat APIs.

LLM Applications
      ↓
Prompt Engineering
      ↓
Structured Outputs
      ↓
Tool Calling
      ↓
RAG
      ↓
AI Agents
      ↓
Multi-Agent Workflows
      ↓
Production AI Systems

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