Building reliable software systems with a focus on backend engineering, APIs, databases, automation, and production-oriented software development.

I'm a Software Engineer focused primarily on building reliable backend and full-stack software systems.

My work combines:

• Backend API development
• Database design and SQL
• Authentication and authorization
• Software architecture
• Automated testing
• CI/CD and containerization
• Performance and reliability engineering
• Data transformation and analytics engineering
• Full-stack application development

I enjoy building systems that are maintainable, reliable, and designed to evolve as requirements grow.

My primary engineering tools include:

Python • TypeScript • FastAPI • PostgreSQL • Redis • Docker • React • GitHub Actions

My current focus is developing deeper practical experience in backend engineering and production-oriented software development, while progressing toward cloud, distributed, and intelligent systems.

REST APIs • SQLAlchemy • Pydantic • Authentication • Authorization • API Design • Service Layer • Repository Pattern

Relational Data Modeling • Database Design • SQL • Indexing • Caching • ETL/ELT • Data Transformation • Analytics Engineering

Modular Architecture • Automated Testing • Database Migrations • Code Quality • API Validation • Documentation • Version Control

Docker • Docker Compose • CI/CD • GitHub Actions • Linux • Containerized Development

AWS Cloud Fundamentals • Cloud Architecture Concepts • Application Deployment Concepts

Power BI • DAX • Power Query • KPI Development • Business Intelligence

A reliable authenticated REST API for managing personal notes, built to demonstrate practical backend engineering fundamentals.

Python • FastAPI • PostgreSQL • SQLAlchemy • Alembic • Pytest • Docker • GitHub Actions

• REST API design
• JWT authentication
• Password security
• Resource ownership and authorization
• PostgreSQL data modeling
• Database migrations
• Automated API testing
• Dockerized development
• CI/CD

A complete backend service that can be designed, tested, containerized, migrated, and continuously validated through CI.

🔗 Repository: https://github.com/Mugheerik/reliable-notes-api

A production-minded URL shortening and analytics API focused on caching, rate limiting, database performance, and failure handling.

Python • FastAPI • PostgreSQL • Redis • SQLAlchemy • Alembic • Pytest • Docker • GitHub Actions

• URL shortening and redirects
• Redis caching
• PostgreSQL persistence
• Rate limiting
• Database indexing
• URL expiration
• Click analytics
• Redis failure fallback
• Performance measurement
• Automated testing
• CI/CD

Practical application of caching, performance optimization, rate limiting, and graceful dependency failure handling without introducing unnecessary distributed architecture.

🔗 Repository: https://github.com/Mugheerik/LinkVault

A multi-tenant task management API designed to demonstrate backend authorization, tenant isolation, and relational system design.

Python • FastAPI • PostgreSQL • SQLAlchemy • Alembic • Pytest • Docker • GitHub Actions

• Multi-tenant backend design
• Role-based access control
• Organization membership
• Tenant isolation
• Resource ownership
• PostgreSQL relational modeling
• Database migrations
• Automated authorization testing
• Dockerized development
• CI/CD

Designing backend systems where authentication, authorization, data relationships, and tenant boundaries are enforced at the application level.

🔗 Repository: https://github.com/Mugheerik/TeamFlow

An end-to-end analytics platform focused on transforming data into structured analytical models and decision-support reporting.

Python • PostgreSQL • dbt • Power BI

• Data transformation
• Analytical modeling
• SQL development
• Data validation
• KPI development
• Business intelligence reporting
• Dashboard development

🔗 Repository: https://github.com/Mugheerik/healthcare-analytics-platform

An analytics engineering project focused on extracting, transforming, modeling, and analyzing market data.

Python • SQL • PostgreSQL • dbt • Power BI

• Data extraction
• Data transformation
• PostgreSQL modeling
• Reusable analytical models
• SQL development
• Dashboard visualization

🔗 Repository: https://github.com/Mugheerik/stock-market-analytics-pipeline

A business analytics project focused on understanding customer behavior, conversion funnels, and revenue performance.

SQL • dbt • Power BI

• Customer lifecycle analysis
• Funnel analysis
• Revenue analysis
• Analytical modeling
• KPI development
• Business reporting

🔗 Repository: https://github.com/Mugheerik/saas-funnel-analytics

A cross-platform mobile application developed as a university final-year project.

React Native • Expo • Firebase • Python • Flask

• Authentication
• Cloud integration
• Multimedia functionality
• Cross-platform mobile development
• AI-assisted video summarization

🔗 Repository: https://github.com/Mugheerik/newsbroadcast

Building reliable APIs, backend services, database systems, and production-oriented software.

Combining software engineering with strong capabilities in:

• SQL
• Data transformation
• Analytics engineering
• Database systems
• Automation
• Business intelligence

Ability to build and integrate frontend applications when required using React and TypeScript.

I'm currently developing deeper expertise in:

• Backend architecture
• API design
• Database systems
• Authentication and authorization
• Automated testing
• Performance and reliability
• System design

• Docker
• CI/CD
• AWS fundamentals
• Application deployment
• Infrastructure concepts
• Observability

• Distributed systems
• Event-driven architecture
• Message processing
• Data platforms
• AI-enabled applications
• Intelligent software systems

Backend Engineering

⬇️

Cloud & Production Systems

⬇️

Distributed Systems

⬇️

AI & Intelligent Software Systems

⬇️

Intelligent Systems Architecture

My long-term goal is to contribute to the design of scalable systems where software engineering, data, automation, and AI work together to solve complex problems.

Build systems that solve real problems.

Prefer maintainability over unnecessary complexity.

Let engineering requirements drive technology choices.

Learn technologies by solving real engineering problems.

Treat testing, automation, and observability as part of the system.

Build software that can evolve as complexity grows.

• System design
• Software architecture
• Database optimization
• API design
• Backend reliability

• AWS cloud fundamentals
• Docker
• CI/CD
• Deployment
• Infrastructure concepts
• Observability

• Distributed systems
• Event-driven architecture
• Data platforms
• LLM applications
• AI-enabled backend systems

I'm currently interested in opportunities involving:

• Backend Engineering
• Software Engineering
• Backend-Focused Full-Stack Development
• Data-Focused Software Engineering
• Analytics Engineering

📍 Pakistan

🌍 Open to Remote • Hybrid • Freelance • Full-time opportunities