>>> python3 boot_portfolio.py
Initializing huzaifa.portfolio...
huzaifa.systems.postgresql = Online
huzaifa.cache.redis = Connected
huzaifa.tasks.celery = Ready
huzaifa.integrations.slack = Active
huzaifa.api.services = Running
huzaifa.neural.interface = Loaded
Starting event loop...
Portfolio.__init__() complete.
Press Enter or click to continue

Huzaifa Sabah Uddin

>>> Backend Developer & System Architect

I build multi-tenant SaaS platforms and async pipelines that replace enterprise tool stacks. Saving $15.6K/year across 4 live systems. Open to remote roles worldwide.

Get In Touch
def about():

About Me

I'm a backend engineer with deep expertise in system architecture, database optimization, and REST API development. I specialize in Python/Django, microservices, and multi-tenant SaaS platforms, automating processes and building scalable solutions that are both fun and impactful.

As a Software Engineering (DIPHE) graduate from the University of Leicester, I've since built and shipped multiple production systems, including a multi-tenant Django project management engine currently running live in production, that replace expensive third-party tooling with custom infrastructure. Whether it's coding, developing games, or combining technologies in innovative ways, I'm always creating projects that blend creativity with problem-solving.

4 Production Systems
$92.9K Revenue Protected
$15.6K Annual Tool Savings
100% Deadline Record
5 Tools Replaced
4 New Service Lines
~/profile.py
>>> import huzaifa
Initializing profile...
>>> huzaifa.title
'Backend Engineer'
>>> huzaifa.systems.count
4
>>> huzaifa.impact()
{'revenue': '$92.9K', 'savings': '$15.6K'}
>>> huzaifa.tools_replaced
5
>>> huzaifa.deadline_record
'100% - zero missed'
>>>

Impact by the Numbers

0
Annual Tooling Cost Saved
Replaced $1,400/mo stack with ~$90/mo custom engine
0
Revenue Tracked / Protected
44 disputed cases resolved in organisation's favour
0
Tools Replaced by 1 Engine
Basecamp, Asana, Trello, Slack bots, spreadsheets
0
Cost Reduction
Monthly infra cost dropped from $1,400 → $90

The Toolbox

Languages

Python Java

Backend Frameworks

Django Flask FastAPI Spring Boot Streamlit

Databases & Data Layer

PostgreSQL MySQL PgBouncer Redis

Async & Messaging

Celery Redis Broker Slack API

Architecture

Multi-tenant REST API Design RBAC

DevOps & Tools

Docker CI/CD GitHub Actions S3 Storage Postman

Automation Pipeline

Every system I build follows a repeatable automation-first approach, eliminating manual work, reducing cost, and increasing reliability.

Identify Bottleneck

Manual workflows, repetitive tasks, expensive tool stacks with overlapping features

Design Solution

Custom Django/Python backend, PostgreSQL persistence, Celery async tasks, Slack integrations

Automate & Deploy

Production deployment with automated reminders, real-time dashboards, and self-service portals

Measure Impact

$15.6K saved annually, 94% cost reduction, 100% deadline record, zero complaints

PM Engine Architecture

Internal dependency structure, every component runs live in production on Railway.

User / Auth Login, Register, Profile
Workspaces
Clients · Billing Services · Decorators Signals · Auto-trigger
Teams Roles: admin/dev/designer
Posts & Tasks Comments, Files, Mentions
Notifications Generic FK · Read/Unread
Activity Feed Signals → Logged actions
Celery Tasks Accounts · Posts jobs
Presigned URLs Server signs · Browser uploads
PostgreSQL Multi-tenant ORM · PgBouncer
Django Core Settings, urls, middleware, celery.py, wsgi/asgi
Email Service SMTP via Celery task
AWS S3 Browser-direct uploads
Redis / Broker Celery message queue
Deployed on Railway, all services containerized
def projects():

Featured Projects

flagship

Project Management & Workflow Engine

Custom-built, production multi-tenant PM platform serving 4 active client organisations and replacing an entire enterprise tool stack (Basecamp, Asana, Trello) at roughly 94% lower monthly cost, saving $15.6K/year in SaaS licensing alone. Architected on Django + PostgreSQL with PgBouncer connection pooling handling 150+ concurrent connections, Celery + Redis for async task pipelines (Slack notifications, email dispatch, file processing), and a Slack API integration hub for real-time DM notifications and direct browser-to-S3 file uploads via presigned URLs. Containerised and deployed on Railway with automated CI/CD. Implements dynamic team provisioning, role-based access control (admin/dev/designer), Django Signals-driven activity feeds, and real-time financial/task auditing across all tenants, all served from a unified codebase with per-schema multi-tenancy.

Django PostgreSQL PgBouncer Celery Redis Slack API S3 Object Storage Railway
enterprise

IBM SkillsBuild Simulation Platform

Led a cross-functional team of five as Scrum Master to a 2nd-place finish in the IBM SkillsBuild national competition. Architected a full-stack simulation platform serving 500+ concurrent users with secure RESTful APIs, real-time feedback loops, role-based dashboards, and persistent session state. Built on Java 17 + Spring Boot with Hibernate ORM against a relational MySQL backend, the frontend combines Bootstrap 5 responsive layouts with jQuery-driven dynamic interactions, delivering a polished UX that the judges ranked among the top three platforms nationwide.

Java Spring Boot MySQL jQuery Bootstrap
dashboard

Blink Digitally Publishing Dashboard

Designed and delivered a production-grade Publishing Dashboard (~6,000 LOC) that saved an entire editorial team 12+ hours per week on manual reporting. Built on Streamlit with Pandas for high-volume data transformation, NumPy for statistical aggregations, and Matplotlib/Seaborn for automated chart generation, rendering weekly performance summaries, ad-revenue trends, and content velocity graphs with zero manual intervention. Integrated Google Sheets API for live publisher data ingestion and a custom Slack bot for automated review reminders and status notifications triggered by GitHub Actions.

Python Streamlit Pandas NumPy Matplotlib Google APIs Slack API
automation

Blink Digitally Ticket Management App

End-to-end ticket management system processing 200+ active tickets across distributed teams. Streamlit frontend backed by Pandas for real-time dataframes, NumPy for SLA deadline calculations, and Matplotlib for burndown-chart visualisations of team velocity and aging tickets. Notion API serves as the primary data store with relational page links, while GitHub Actions schedules daily cron-driven Slack/email reminders (Mon-Fri, 8:00 PM PKT) that ping ticket assignees and creators with personalised digests, reducing overdue items by 40% in the first month.

Python Streamlit Pandas NumPy Matplotlib Notion API GitHub Actions
full-stack

Cafe 1947 Website & Booking System

Full-featured cafe website with a real-time booking engine that replaced a manual phone-and-paper reservation system. Streamlit backend handles booking validation, time-slot availability checks, and automated confirmation flows, all synced with a Notion database acting as the live reservations ledger. Frontend built with responsive HTML/CSS and vanilla JavaScript for interactive menus and gallery components. Pandas processes booking analytics (peak hours, popular items, table-turn rates) for weekly operational reporting.

HTML/CSS Javascript Streamlit Pandas Notion API

FAQs

What technologies do I specialize in?

I specialize in Python, Django, PostgreSQL (with PgBouncer connection pooling), Celery, Redis, FastAPI, Java / Spring Boot, Docker, and multi-tenant system architecture. I build production-grade backend systems and REST APIs that replace entire enterprise tool stacks at a fraction of the cost.

What is my most notable project?

My flagship project is a multi-tenant Project Management Engine built on Django + PostgreSQL with PgBouncer, Celery, and Redis. It serves 4 active client organizations and replaced an entire enterprise tool stack (Basecamp, Asana, Trello, Slack bots, spreadsheets), saving $15,600/year and reducing monthly infrastructure costs from $1,400 to ~$90.

Where am I based?

I'm based in Karachi, Pakistan, and work as a Backend Developer at Top Soft Digitals. I'm open to remote opportunities worldwide.

What measurable impact has my work achieved?

Across 4 production systems currently running live, my work has: saved $15,600/year in tooling costs (94% cost reduction), tracked and protected $92,900 in revenue, replaced 5 separate tools with one custom engine, and maintained a 100% deadline record with zero missed deliveries. I also enabled 4 new service lines that previously weren't feasible due to expensive SaaS tooling.

def contact():

Connect

~/message.py
>>> from visitor import Message
name =
email =
message =
~/connect.py
>>> from huzaifa import contact
>>> contact.email()
'huzaifasabah@gmail.com' ✉ send
>>> contact.github()
'github.com/Iamhuzaifasabahuddin' ↗ open
>>> contact.linkedin()
'linkedin.com/in/huzaifa-sabah-uddin' ↗ open
>>> contact.resume()
'Available on request'
>>> contact.location()
'Karachi, Pakistan - open to remote'
>>> # reach out, I reply within 24h
>>>