💻 Software Engineer from Pakistan 🇵🇰
- 💻 I'm currently working as a Software Engineer
- 🚀 Backend-focused developer with experience in Go, Node.js, REST APIs, and backend development
- 🤖 Experienced in Machine Learning, Deep Learning, Computer Vision, and Python
- ⚡ Experienced in building backend services using FastAPI
- 🔧 Experienced in .NET Core MVC
- 🛠️ I work with Go, Rust, C#, SQL Server, Dapper, Node.js, Express.js, FastAPI, Python, React, and PostgreSQL
- 📱 Experience building cross-platform mobile applications using React Native
- 🧠 Interested in building AI-powered applications and intelligent backend systems
- 🌱 Continuously improving my backend development, system design, AI, and problem-solving skills
- 💬 Ask me about Go, Node.js, REST APIs, FastAPI, Python, Machine Learning, Deep Learning, Computer Vision, .NET Core MVC, React, and SQL
- 📚 I also practice Data Structures & Algorithms and LeetCode problems
- 📊 Data Strategy — 14 November 2022
- 🧠 Introduction to Data and Data Science — 08 November 2022
Cross-platform mobile applications developed using React Native, focusing on reusable UI components, API integration, navigation, and responsive user experiences.
Web applications built with React, including interactive dashboards, reusable components, frontend state management, and responsive interfaces.
Backend applications developed using Node.js, TypeScript, and Express.js, including RESTful APIs, authentication, database integration, validation, and business logic.
Enterprise backend project built with Node.js, TypeScript, Express.js, PostgreSQL, and Sequelize, following a structured Domain-Driven Design architecture with handlers, services, repositories, schemas, models, authentication, validation, and automated testing.
🔗 View Squis API Project Overview
🔒 The original Squis API source code is private because it is part of a company project. The public repository contains only the project overview.
A production-oriented delivery platform backend built with Go (Golang), Gin, PostgreSQL, JWT, REST APIs, and WebSocket, following Onion Architecture and a modular monolith approach.
The platform is designed to support Customer, Rider, and Admin workflows, including authentication, role-based access control, customer profiles, addresses, order management, rider assignment, rider order workflows, and real-time delivery capabilities.
Tech Stack: Go · Gin · PostgreSQL · JWT · REST API · WebSocket · Onion Architecture · Modular Monolith
🔒 Private Client Project — The source code is private and is not publicly available.
Modern backend applications developed using Python and FastAPI, including REST APIs, database operations, authentication, validation, and scalable backend architecture.
🔗 View Metra Fitness FastAPI Project
Projects involving Machine Learning, Deep Learning, Computer Vision, and Python, including model development, data processing, prediction, image analysis, and AI-powered applications.
Web applications developed using C#, ASP.NET Core MVC, SQL Server, and Dapper, including CRUD operations, database integration, AJAX functionality, and responsive UI.
Projects involving relational databases, including SQL Server and PostgreSQL, with database design, queries, stored procedures, relationships, and backend integration.
A collection of Data Structures & Algorithms practice and LeetCode solutions implemented to improve problem-solving, algorithmic thinking, and coding skills.
🔗 View DSA & LeetCode Solutions
