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shubh234/README.md

Hi πŸ‘‹, I'm Shubham Rathi

Forward Deployed AI Engineer | Generative AI & Agentic AI
LLMs | RAG | AI Agents | Azure AI | Solution Architecture
8+ Years Software Engineering Experience



πŸš€ About Me

  • πŸ€– Forward Deployed AI Engineer / Lead Consultant focused on Generative AI, Agentic AI, LLM applications, and RAG.
  • 🧠 Experienced in designing AI-powered solutions using LLMs, RAG pipelines, AI agents, agent orchestration, tool/function calling, and context management.
  • ☁️ Hands-on with Microsoft Foundry, Azure AI, Azure OpenAI, Azure AI Search, and Azure-based AI application architecture.
  • πŸ”Ž Experienced in designing RAG workflows covering data ingestion, document processing, chunking, embeddings, vector search, retrieval, reranking, context construction, generation, and citations.
  • 🀝 Work directly with clients and stakeholders to understand business problems, evaluate technical approaches, build POCs, and drive solutions toward production.
  • 🧩 Experienced in multi-agent and sub-agent orchestration for AI-assisted legacy application modernization.
  • πŸ—οΈ Strong software engineering foundation with 8+ years of experience across solution architecture, React.js, Next.js, Node.js, TypeScript, JavaScript, APIs, Micro-Frontends, and enterprise application modernization.
  • πŸš€ Interested in building practical AI systems that connect business problems, AI capabilities, software engineering, and production delivery.

πŸ€– Generative AI & Agentic AI

LLM & Generative AI

LLM Generative AI Prompt Engineering

RAG

RAG Embeddings Vector Search Semantic Search Hybrid Search

Agentic AI

AI Agents Agent Orchestration Tool Calling Function Calling Multi Agent


☁️ AI & Azure

Microsoft Foundry Azure AI Azure OpenAI Azure AI Search Microsoft Azure


🧠 AI Application Development

  • RAG Application Architecture
  • RAG Pipelines
  • Document Ingestion & Processing
  • Chunking Strategies
  • Embeddings & Vector Search
  • Retrieval & Reranking
  • Context Management
  • Prompt Engineering
  • AI Agents
  • Agent Orchestration
  • Multi-Agent / Sub-Agent Workflows
  • Tool & Function Calling
  • AI Workflow Design
  • LLM Application Integration
  • AI Application Prototyping / POCs
  • Enterprise AI Integration
  • Production AI Delivery

πŸ—οΈ How I Work

I focus on taking AI ideas from business problem β†’ prototype β†’ architecture β†’ implementation β†’ production.

Business Problem
       ↓
Problem Discovery
       ↓
Technical Feasibility
       ↓
Architecture & Solution Design
       ↓
Rapid Prototype / POC
       ↓
AI / Data / Application Integration
       ↓
Testing & Evaluation
       ↓
Azure Deployment
       ↓
Production Delivery
       ↓
Monitoring & Iteration

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