Ramesha Javed

Agentic AI Developer

Claude · MCP · RAG · Spec-Kit

Initializing Agentic AI...

AI & Dev Insights

The Blog

Deep dives into Agentic AI, RAG systems, MCP protocol, and building AI-native products from Karachi.

Building Production-Grade RAG Systems with Qdrant & Anthropic SDK

A deep-dive into architecting retrieval-augmented generation pipelines that actually work in production — covering chunking strategies, embedding models, reranking, and evaluation.

RAGQdrantAnthropic SDK

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Agentic AI

12 min readApr 8, 2026

Agentic AI in 2026: Building Multi-Agent Pipelines with OpenAI Agents SDK

How I used OpenAI Agents SDK + Spec-Kit to build autonomous FTE systems that can reason, plan, and act across multiple tools without human intervention.

AgentsOpenAISpec-Kit

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MCP & Tools

6 min readMar 29, 2026

MCP Protocol: The Missing Layer for AI Tool Integration

Model Context Protocol is changing how AI agents interact with external tools. Here's a practical guide to implementing MCP servers and clients in your AI stack.

MCPProtocol

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Next.js

10 min readMar 20, 2026

The AI-Native Full Stack: Next.js 16 + Claude API + Vector DB

A complete architecture guide for building AI-powered web applications — from streaming responses to RAG-backed search and real-time AI features.

Next.jsClaude API

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Career

7 min readMar 12, 2026

From Idea to Startup: The VisionDX AI Story

How I founded VisionDX AI at NIC Karachi — building AI-powered medical imaging analysis that processes 25+ medical image types for clinical decision support.

StartupVisionDX

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RAG Systems

9 min readFeb 28, 2026

How to Actually Evaluate Your RAG Pipeline (Beyond Accuracy)

Most RAG evaluations stop at accuracy. Here's the full picture: faithfulness, context relevance, answer relevance, and how I use RAGAS in production.

RAGEvaluation

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