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RavSinghChandan/README.md

Chandan Kumar

Applied AI Engineer | Senior Full-Stack Engineer | Production AI Systems Builder

        

Building intelligent systems that survive production reality.

Tech Stack

What I Build

AI Intelligence Backend Systems Frontend Experience Infrastructure & Scale
Agentic AI Systems Java / Spring Boot Angular Docker
LangChain Kafka TypeScript AWS
LangGraph Workflows Microservices Interactive UI Systems PostgreSQL
LLM Applications REST APIs Responsive Interfaces Redis
RAG Pipelines Distributed Caching Design Systems CI/CD
Guardrails Data Engineering Component Architecture Observability
Structured Outputs System Design Product UX Thinking Production Reliability
Prompt Architecture

Featured Project

Aura with Rav

AI-powered spiritual intelligence platform

A production-grade AI application where 18+ AI agents coordinate dynamically to generate personalized structured intelligence reports.

Core engineering challenges solved:

  • Multi-agent orchestration
  • Prompt consistency enforcement
  • Guardrails & validation layers
  • Structured reasoning workflows
  • Dynamic PDF rendering
  • AI workflow modularization
  • Full-stack product architecture
  • Report generation pipelines

Product Snapshot

Engineering Philosophy

AI is not magic. Reliable systems are engineered.

Good systems are:

  • clear in intent
  • resilient under failure
  • observable in production
  • honest about trade-offs

I focus on shipping systems that work beyond demos.

Open To

Senior AI Engineer • Applied AI Engineer • AI Platform Engineer • Founding Engineer

If you're building serious AI products, let's connect.

Pinned Loading

  1. ai-in-spring-boot-java ai-in-spring-boot-java Public

    Spring Boot backend that integrates AI API to generate real-time chat responses.

    Java 1

  2. ai-engineer ai-engineer Public

    Python chat application using LangChain and OpenAI API

    TypeScript