This project is not a replacement for any of the existing tools out there. It’s a tool that connects all the dots, using available public/authorised API provided by the already existing tools in one place, and providing a unified visual, log, and audit report. On top, local AI agent helping to organise and summarize the given context in real time.

Tech: Natural Language Processing, LLM, AWS CLI, Terraform, Git

Highly customizable app to chat with your database, designed for both technical and non-technical users. Transforms natural language to SQL and delivers data insights in seconds.

Tech: Natural Language Processing, SQL Generation, React, Node.js

Currently being tested locally, Laravel2Doc will provide a full suite of documentation features, including: Entity Relationship Diagrams (ERD), UML Class Diagrams, Sequence Diagrams, API Documentation

Tech: Laravel, Node JS, Mermaid.js, CLI Tool, Open Source

Transform your database schema into a production-ready Laravel API with a single command. Save hours of development time with this powerful Node.js CLI tool.

Tech: Node.js, Laravel, API Development, Automation

A lightweight, browserless REST API that generates print-ready PDF question papers from structured JSON data.

Tech: Node.js, PDFKit, REST API

Most MCP tutorials show you how to wire up a tool and call it from Claude. That is fine for a weekend experiment. But when you are building MCP into a real enterprise system, one with HR data, procurement approvals, financial records, and five distinct user roles — "wire up a tool" is nowhere near enough.

The Standish Group’s CHAOS Report, running since 1994, is the most cited longitudinal study of software project outcomes in the industry. Its findings are brutal: only 29% of software projects are deemed fully successful, delivered on time, on budget, and with all required features.

The 2021 iteration studied 50,000 projects globally and found that 52% were "challenged" and 19% were outright failures. For large enterprises, the numbers are even grimmer: only 9% of large-company projects are successful.

The destination hasn’t changed. The vehicle has. The traditional SDLC is not wrong. It identified the right phases, the right concerns, and the right stakeholder relationships. What it could not anticipate was a world where the primary bottleneck shifts from developer capacity to context quality — where the art of software engineering migrates from syntax to orchestration.

The Agentic SDLC does not erase what came before. It elevates the human contribution to a higher level of abstraction: defining goals with precision, designing the workflows that agents execute, governing the outputs they produce, and maintaining the context that makes everything coherent over time.

In this article, we’ll explore how to use SHAP (SHapley Additive exPlanations) to detect and understand bias in NLP models. We’ll build a practical example from scratch, demonstrate how bias can hide in seemingly innocent features, and provide actionable strategies for creating more equitable AI systems.

Automating the tedious parts of API development with a powerful Node.js-based CLI tool designed to streamline the process of creating scalable, customizable, and production-ready Laravel APIs.

Don’t stop reading after finishing the stories because this is not the future — this is the present evolving right now. I will be sharing how to build EduBot, WorkBot, and MedAssist.

Enhancing LLM performance through domain-specific responses, preventing hallucinations, filtering irrelevant queries, feedback optimization, and efficient query execution.

Exploring a Dictionary Approach to optimize and validate queries in real-time, combining programmatic algorithms and AI techniques to ensure accurate, efficient, and contextually appropriate results.

Whatever it is, I’ve found that the key to moving fast without breaking things is a workflow that lets me document and track my work almost effortlessly — literally, with what feels like 0.01% effort.

A plug-and-play solution that transforms natural language into optimized SQL queries, eliminating tedious manual coding and providing instant data insights.

Design and implementation of a RAG-based system using Node.js, Express, LangChain, and MySQL, optimized with caching, parallel processing, and AI-driven query handling.

Building a completely local AI chatbot application with full control over data and performance.

In software development, the fastest path to delivery isn’t always about more people — it’s about smarter planning, better communication, and the right pace.

Over the past 7 years of my professional life, I’ve worked with teams of various sizes, shapes, and industries. While my core expertise lies in software development, the lessons I’ve learned — especially about how knowledge is shared (or withheld) — are universal.

Revolutionizing how organizations manage their IT infrastructure with AI-powered asset management.

A lightweight solution for generating professional PDFs without browser dependencies.

Insights into phonetic algorithms for search engine optimization and text matching.

A tool for creating reusable and highly scalable React components.