OPEN TO OPPORTUNITIES

Lahore, PK

Muhammad
Raheel

Full-Stack Engineer & Backend Architect

4+ years crafting high-performance APIs, scalable backend systems, and cloud-native data pipelines. Specialized in Django, FastAPI, React, and enterprise-grade DevOps workflows.

View My Work Get In Touch

Years Experience

15+

Technologies

Major Clients

3.47

Academic GPA

3.47GPA

raheel@dev ~ profile.py

# Engineer Profile — Muhammad Raheel

class SoftwareEngineer:

name = "Muhammad Raheel"

role = "Full-Stack Engineer"

location = "Lahore, Pakistan"

experience = 4 # years

stack = [

"FastAPI", "Django", "DRF",

"React", "PostgreSQL",

"Docker", "AWS", "Azure",

"PySpark", "TypeScript"

]

def get_status(self):

return "Available for hire"

// 01. CORE STACK

Built for Scale,
Engineered for Precision

🐍

Python

PRIMARY LANGUAGE

⚡

FastAPI

ASYNC REST APIs

🦄

Django + DRF

FULL-STACK FRAMEWORK

⚛️

React + TypeScript

FRONTEND

🔥

PySpark

BIG DATA PROCESSING

🗄️

PostgreSQL

RELATIONAL DATABASE

☁️

AWS + Azure

CLOUD PLATFORMS

🐳

Docker

CONTAINERIZATION

🔍

Elasticsearch

SEARCH & ANALYTICS

🔗

GraphQL

API QUERY LANGUAGE

🐹

Golang (Gin/Fiber)

SYSTEMS PROGRAMMING

🧪

Pytest / Unittest

TEST-DRIVEN DEV

// 02. CAREER VECTOR

Professional
Journey

Built production systems for Microsoft, Electronic Arts, and high-growth startups — always shipping clean architecture at scale.

Backend Full-Stack AI Integration Data Engineering

2025 — PRESENT

Netsol Technologies Inc

Senior Software Engineer · Lahore, Pakistan

Building scalable REST APIs with FastAPI leveraging Python's async capabilities. Managing schema migrations via Alembic + SQLAlchemy + PostgreSQL. Developing responsive React frontends with React Hook Form, integrating modular component architecture with FastAPI backends.

FastAPI React SQLAlchemy PostgreSQL Alembic

2023 — 2025

TechLeadz

Full-Stack Developer · Lahore, Pakistan

Led backend development for enterprise-scale projects serving Microsoft, EA, and Blueprint. Integrated Azure AI Search and vector databases. Built and maintained ETL pipelines with Apache Spark and PySpark for large-scale data transformation. Managed AWS and Azure cloud infrastructure for deployment and uptime.

Django DRF PySpark Azure AI AWS Docker

2020 — 2023

Enigmatix

Full-Stack Developer · Bahawalpur, Pakistan

Built robust scalable backends with Django, designed and secured RESTful APIs with DRF, and delivered frontend applications using React + TypeScript + MobX + Ant Design. Spearheaded unit testing practices using Pytest and Unittest, establishing quality baseline for the engineering team.

Django React TypeScript MobX Pytest

// 03. SELECTED WORKS

Production-Ready
Systems

Deep-dives into high-profile backend systems and optimized web solutions built for industry leaders.

01 / BACKEND AI

⚡ Electronic Arts

EA Chat Application

Backend AI platform powering EA's internal chat, integrated with Azure AI Search for vector embedding storage and retrieval. Built custom connectors for Slack, Jira, and Confluence. Enhanced AI-powered features with optimized cross-platform integration reliability.

Azure AI Search Vector DB Slack API Jira Confluence

Discuss This Work →

02 / DATA ENGINEERING

🔵 Microsoft & Blueprint

Azure Synapse Data Pipeline

Managing PySpark notebooks inside Azure Synapse. Automated pipeline orchestration, C# application development, and unit testing. Optimized and scaled data pipelines for large enterprise datasets.

PySpark C# Azure Synapse ETL

Discuss This Work →

03 / SAAS PLATFORM

🏗️ Construction Bevy

GC & Trade Partner Platform

Senior Software Engineer for a construction management SaaS. Built backend with Django + DRF, integrated Elasticsearch for advanced search, deployed via Docker on Heroku.

Django Elasticsearch Heroku Docker

Discuss This Work →

04 / GRID TECHNOLOGY

⚙️ UtiliData

Grid Digitalization Platform

Led backend development as Senior Software Engineer for a grid tech company. Implemented GraphQL APIs, geolocation/geocoding in Django, mentored engineers, and utilized AWS services extensively.

Django GraphQL AWS Geolocation

Discuss This Work →

05 / AI PLATFORM

🤖 Alethea AI

iNFT Interaction Platform

AI-based iNFT platform for interacting with AI characters. Specialized in model fine-tuning with voice samples, Django backend architecture, API integration, and rigorous unit testing with Django's unittest framework.

Django AI Fine-tuning Voice AI NFT

Discuss This Work →

06 / MOBILE BACKEND

💪 Blaque Fitness

Fitness & Workout API Platform

Backend for an Android fitness app featuring exercise tutorials and personalized diet plans. Built with Django + DRF, designed user data APIs, optimized for speed and scalability.

Django DRF Android API PostgreSQL

Discuss This Work →

// 04. PRINCIPLES

Engineering
Philosophy

I follow "Zen Backend Architecture" — where code is as invisible as it is efficient. Every line written is a commitment to scalability, readability, and bulletproof security.

Clean Architecture Over Speed Maintainable, modular code that outlasts hype cycles and scales without rewrites.

100% Test-Driven Integrity Every API, every model, every edge case — covered before deployment.

Security-First Communication Authentication patterns, encryption, and access control are non-negotiable.

Observability by Default Logging, monitoring, and alerting built in from day one — not bolted on later.

architect.py

                  1# Zen Backend Architecture
                
2 

                  3from
                  principles
                  import
                  CleanCode, Security
                

                  4from
                  typing
                  import
                  Scalable
                
5 

                  6class
                  Architect(CleanCode, Security):
                

                  7  coverage: float =
                  1.0
                

                  8  quality: float =
                  1.0
                
9 

                  10  def
                  build(self,
                  system:
                  Scalable) ->
                  str:
                

                  11    # Scalability is non-negotiable
                

                  12    assert
                  self.coverage == 1.0
                

                  13    assert
                  self.quality == 1.0
                

                  14    return
                  self._optimize(system)
                
15 

                  16  def
                  _optimize(self,
                  s) ->
                  str:
                

                  17    return
                  "Robust. Tested. Deployed." 
                