Capabilities

Six areas of technical capability.

Grouped by what they make possible. No percentages or star ratings, just the stack as it is used.

Frontend engineering

Interfaces that stay fast, accessible and maintainable as a product grows.

  • React
  • Next.js
  • JavaScript (ES6+)
  • TypeScript
  • Redux
  • Tailwind CSS
  • Material UI
  • Bootstrap
  • HTML5 & CSS3

Backend engineering

APIs, data models and business logic for systems that organisations rely on every day.

  • Node.js
  • Express.js
  • REST APIs
  • GraphQL
  • MongoDB
  • Mongoose
  • MySQL
  • Python
  • Django
  • Socket.IO

Mobile

Cross-platform apps from a single codebase, shipped to real users.

  • React Native
  • Expo
  • Android

Cloud & deployment

Reliable hosting and release pipelines matched to the size of the product.

  • Firebase
  • Vercel
  • Render
  • Netlify
  • MongoDB Atlas
  • Hostinger
  • Linux
  • Nginx
  • Docker

AI & intelligent systems

Practical AI where it earns its place: language interfaces, analysis and automation.

  • LLM & OpenAI API integrations
  • AI-assisted automation
  • Natural-language interfaces
  • Python & Pandas for analysis
  • Machine learning (B.Tech CSE–AI)

Architecture

System design choices that let software scale with the organisation using it.

  • REST API design
  • GraphQL
  • Authentication & JWT
  • Role-based access control
  • Multi-tenant systems
  • Real-time systems
  • Scalable architecture

Everyday toolingGit · GitHub · Postman · VS Code

How I choose

Principles behind the stack.

Technology decisions outlive the people who make them. These are the rules I use to keep them sound.

  1. 01

    Proven foundations

    Well-supported, widely understood tools for the core stack, so teams can hire, maintain and extend with confidence.

  2. 02

    Simple until scale says otherwise

    Start with the simplest architecture that works and add complexity only when real usage demands it.

  3. 03

    Security and access by design

    Authentication, roles and tenancy are designed into the data model from the first version.

  4. 04

    AI with a job to do

    Adopt AI where it removes real work or unlocks a capability, not as a label.

Engineering activity

Still shipping code.

A live view of GitHub activity over the last year.

Engineering activity

Contribution history from GitHub

@Charudatta270104

Technical partnership

Choosing a stack or planning an architecture?

Whether it is a product idea, a business system that needs rebuilding, or a technology decision you want a second opinion on, I am glad to talk it through.