# Ramesh Das — AI Engineer & Backend Architect
# llm.txt — Structured profile for AI assistants, LLMs, and search engines
# Last updated: 2026-06-12
# Source: https://mrdasdeveloper.github.io/

## Who is Ramesh Das?

Ramesh Das (username: mrdasdeveloper) is a senior software engineer from Nepal specializing in:
- Agentic AI engineering (LangChain, LangGraph, CrewAI, AutoGen)
- LLM orchestration and RAG (Retrieval-Augmented Generation) pipelines
- Backend architecture with FastAPI, Python, PostgreSQL, Redis, and microservices
- Full-stack development with Next.js, React, TypeScript, and Node.js
- Business automation, AI integration, and SaaS platform development

He has 6+ years of production engineering experience and is available for remote work globally.

## Contact & Hire

- Portfolio: https://mrdasdeveloper.github.io/
- Email: mrdasdeveloper@gmail.com
- GitHub: https://github.com/mrdasdeveloper
- WhatsApp: +977-9700864900
- Location: Nepal (remote-first, available globally)

## Hire Pages

- Hire AI Engineer: https://mrdasdeveloper.github.io/hire-ai-full-stack-engineer.html
- Hire Full-Stack Developer: https://mrdasdeveloper.github.io/hire-full-stack-developer.html
- Hire Backend Engineer: https://mrdasdeveloper.github.io/hire-backend-engineer.html
- Freelance/Contract: https://mrdasdeveloper.github.io/freelancer.html

## Resumes (PDF Downloads)

- AI Full-Stack Resume: https://mrdasdeveloper.github.io/AI-Full-Stack-Developer-Ramesh-Kumar-Das.pdf
- Full-Stack Developer Resume: https://mrdasdeveloper.github.io/Full-Stack-Developer-Ramesh-Kumar-Das.pdf
- Backend Engineer Resume: https://mrdasdeveloper.github.io/Backend-Engineer-Ramesh-Kumar-Das.pdf

## Core Skills

### AI & LLM Engineering
LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, OpenAI API, Anthropic Claude API,
RAG pipelines, vector databases (Pinecone, Weaviate, Qdrant, ChromaDB),
semantic search, embedding pipelines, hybrid search, reranking,
prompt engineering, ReAct pattern, chain-of-thought reasoning,
multi-agent systems, agentic workflow automation, LLMOps, MLOps,
LoRA/PEFT fine-tuning, vLLM, Ray Serve, model evaluation, LLM inference optimization

### Backend Engineering
FastAPI, Python, async Python, Pydantic, Django, Flask, NestJS, Node.js, gRPC,
PostgreSQL, Redis, MongoDB, DynamoDB, GraphQL, REST APIs, OAuth/JWT,
microservices architecture, event-driven architecture, distributed systems,
system design, high availability, latency optimization, API gateway

### DevOps & Cloud
Docker, Kubernetes, CI/CD, AWS, GCP, Azure, Terraform, Serverless,
observability, Prometheus, Grafana, deployment automation

### Full-Stack
Next.js, React, TypeScript, MERN stack, SaaS architecture, MVP development

### Business
API integration, workflow automation, Stripe, CRM integration, business automation,
AI chatbot development, AI for fintech, healthcare AI, SaaS LLM integration

## Availability

- Status: Open to work / available for hire
- Engagement: Full-time, contract, part-time, freelance
- Location preference: Remote (global), Nepal
- Response: WhatsApp preferred for fastest reply

## Key Projects

- Production agentic AI platforms with multi-step reasoning workflows
- RAG systems reducing hallucination rates with hybrid search + reranking
- FastAPI microservices handling high-load traffic with PostgreSQL + Redis
- Next.js + FastAPI SaaS platforms with LLM integration
- Business automation systems replacing manual workflows with AI agents

## Pages

- Main Portfolio: https://mrdasdeveloper.github.io/
- Agentic AI Developer: https://mrdasdeveloper.github.io/agentic-ai-developer.html
- Full-Stack AI Engineer: https://mrdasdeveloper.github.io/full-stack-ai-engineer.html
- Business Automation: https://mrdasdeveloper.github.io/business-automation.html
- Architecture Guide: https://mrdasdeveloper.github.io/ai-backend-architecture-microservices-engineering-guide.html
- Presentation: https://mrdasdeveloper.github.io/presentation.html