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πŸ‘‹ Hi, I'm Engr. Muhammad Umad

I am a Backend & Systems Engineer pursuing Computer Systems Engineering at MUET. Through UmadTech, I help businesses, startups, and founders design, build, and optimize high-performance backends, full-stack architectures, and custom AI integrations.

⚑ Core Engineering Philosophy: Clean code architecture, strict data integrity, fast response times, and production-grade reliability.


πŸ† GitHub Profile Trophies

Muhammad Umad Trophies


πŸ’Ό What I Do (Services Offered)

Service Technologies / Specialties
Custom Backend & API Development REST APIs, GraphQL, Microservices, JWT/OAuth2 Auth
Full-Stack Web Development Scalable SPAs, Server-Side Rendering, Dashboards (React, Next.js, Laravel)
Real-Time Systems & WebSockets Live Messaging, Notifications, Presence Tracking (Django Channels, Redis)
AI Integration & LLM Workflows Structured JSON Outputs, Prompt Pipelines, Async Tasks (Celery, Gemini, Claude)
Database Design & Query Tuning Database Normalization, Indexing, Query Optimization (PostgreSQL, MySQL)

πŸ› οΈ Comprehensive Tech Stack

πŸ’» Programming Languages

Languages

βš™οΈ Backend & Async Frameworks

Backend Technologies

🌐 Frontend & UI Technologies

Frontend Technologies

πŸ—„οΈ Databases & Caching

Databases

πŸ› οΈ DevOps, Tools & Infrastructure

DevOps and Tools


πŸš€ Featured Client & Flagship Projects

πŸŽ“ AI Learning Management System (LMS)

Full-stack enterprise AI LMS platform engineered for flagship masterclasses.

  • Architecture: Decoupled architecture featuring a high-speed React frontend powered by a robust Laravel PHP REST API backend.
  • Key Features: Automated student tracking, dynamic course delivery, and custom payment/registration flows.

🧠 Cortex β€” Production LLM Backend Engine

A specialized Django layer that turns raw LLM APIs into stable, enterprise backend operations.

πŸ” View Technical Highlights
  • Asynchronous Execution: Heavy LLM calls handled in background queues using Celery + Redis to prevent blocking HTTP endpoints.
  • Schema Enforcement: Strict JSON schema validation and retry triggers for malformed model outputs.
  • Tool-Calling Integration: Directly bridges LLM function calls with native Django ORM models and database records.
  • Stack: Django Β· DRF Β· Celery Β· Redis Β· PostgreSQL Β· LLM APIs

πŸ—¨οΈ RelayChat β€” Real-Time Communication Platform

Scalable WhatsApp-style messaging service with real-time web socket infrastructure.

πŸ” View Technical Highlights
  • Built on Django Channels and Redis for stateful WebSocket connections.
  • Multi-user presence tracking, soft-delete messaging patterns, and automated test coverage.
  • Stack: Django Β· Django Channels Β· Redis Β· WebSockets Β· JWT

πŸ“Š Live GitHub Analytics & Activity Metrics

Muhammad Umad's GitHub Stats Top Languages

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πŸ›‘οΈ Engineering Standards & Quality

When working on client projects or internal systems, I strictly adhere to:

  • βœ… Test-Driven Reliability: Writing automated test suites (PyTest / Django Test Framework) to prevent regressions.
  • βœ… Clean & Documented APIs: OpenAPI / Swagger documentation provided for every endpoint.
  • βœ… Optimized Database Queries: Preventing N+1 query problems using eager loading and indexing.

πŸ“¬ Let's Build Something Great Together!

Need a robust backend, an AI API integration, or a high-performance web application? I'm open for freelance projects, technical consulting, and contract roles.

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