MANOJ KUMAR

@manojofficialmj

Software Engineer

Tundla, Uttar PradeshJoined April 2025

About

Haan Ji, I am Manoj Kumar a product-focused Full Stack Developer passionate about crafting and deploying modern web apps, SaaS solutions, and Generative AI applications using Node.js, Next.js, databases, and cloud technologies, with 10+ real-world projects delivered including AI-powered tools and business applications.

Available for

Available for building modern web apps, SaaS solutions, and Generative AI projects from idea to deployment.

MANOJ KUMAR's blogs

BCA Pathshalabcapathshala.hashnode.dev11 posts

Articles Comments

Recently published

MKMANOJ KUMARbcapathshala.hashnode.devSep 26, 2025 · 4 min read

How a Shopify Store Works with Shopyro Headless Commerce Starter Kit/Template

Clearly explains how a Shopify store works with Shopyro Headless Commerce Starter Kit/Template, tailored for both technical and non-technical audiences. For Non-Technical Person (Business Owner / Marketer) Think of Shopify as the engine of your onlin...

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MKMANOJ KUMARbcapathshala.hashnode.devAug 27, 2025 · 26 min read

Mastering OpenAI Agents SDK: Build Agentic AI Workflows (with LangGraph Comparison)

1. What is an agent? A program that can make decisions and take actions to complete a task for you - like an assistant that can think, call tools (search, calendar, files), and act on results. 2. What is a tool? A specific capability an agent can us...

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MKMANOJ KUMARbcapathshala.hashnode.devAug 23, 2025 · 9 min read

Where RAGs Fail - A Beginner Friendly Guide to Reliable RAG (Retrieval Augmented Generation)

RAG (Retrieval-Augmented Generation) is one of the fastest ways to build useful AI features: instead of forcing a model to rely only on its internal memory, RAG lets the model look up real documents and then write from that evidence. That makes it mu...

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MKMANOJ KUMARbcapathshala.hashnode.devAug 22, 2025 · 6 min read

System Design of RAGs (Production‑Ready)

Table of contents Basic RAG flow Why improve RAG Query rewriting / translation CRAG (Corrective RAG) Ranking HyDE Advanced concepts covered: scaling RAGs, speed vs accuracy tradeoffs, LLM-as-evaluator, sub‑query rewriting, ranking strategies,...

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MKMANOJ KUMARbcapathshala.hashnode.devAug 19, 2025 · 9 min read

Practical Guide to Retrieval-Augmented Generation (RAG) - Indexing, Retrieval, and a Node.js Example

1. What it is RAG? Retrieval-Augmented Generation (RAG) is an architecture that improves LLM responses by combining two components: Retriever - finds relevant documents or passages from a large corpus (using semantic search / vector similarity). Ge...

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MANOJ KUMAR

About

Available for

MANOJ KUMAR's blogs

Recently published

How a Shopify Store Works with Shopyro Headless Commerce Starter Kit/Template

Mastering OpenAI Agents SDK: Build Agentic AI Workflows (with LangGraph Comparison)

Where RAGs Fail - A Beginner Friendly Guide to Reliable RAG (Retrieval Augmented Generation)

System Design of RAGs (Production‑Ready)

Practical Guide to Retrieval-Augmented Generation (RAG) - Indexing, Retrieval, and a Node.js Example

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MANOJ KUMAR

About

Available for

MANOJ KUMAR's blogs

Recently published

How a Shopify Store Works with Shopyro Headless Commerce Starter Kit/Template

Mastering OpenAI Agents SDK: Build Agentic AI Workflows (with LangGraph Comparison)

Where RAGs Fail - A Beginner Friendly Guide to Reliable RAG (Retrieval Augmented Generation)

System Design of RAGs (Production‑Ready)

Practical Guide to Retrieval-Augmented Generation (RAG) - Indexing, Retrieval, and a Node.js Example