Open to work

console.log("Hello, I'm");

Muhammad Zeeshan Sadiq

FullStack Developer & AI Engineer | Python, Django, Restful API, FastAPI, TensorFlow

I am a Software Engineer specializing in backend architectures, API development, and AI integration. I build scalable, multi-tenant systems using Python, Django, and FastAPI, and I have experience deploying deep learning models into production environments. I am passionate about creating robust infrastructure and designing intelligent, data-driven solutions.

View ProjectsGitHub Profile
developer_profile.py
# Developer Profile
class BackendDeveloper:
def __init__(self):
self.name = "Muhammad Zeeshan Sadiq"
self.role = "Backend Software Engineer"
self.location = "Islamabad, Pakistan"
self.stack = [
"Python", "Django", "FastAPI", "PostgreSQL"
]
def get_specialities(self):
return [
"Scalable Architectures",
"Multi-Tenant Systems",
"AI Model Serving"
]
>>> dev = BackendDeveloper()
>>> dev.get_specialities()
['Scalable Architectures', 'Multi-Tenant Systems', 'AI Model Serving']

Technical Stack

Core Backend Engineering Skills

Leveraging modern tools and architectural patterns to create scalable software.

Backend & Frameworks

Building robust, maintainable, and type-safe server logics and APIs.

PythonDjangoFastAPIJava RMI

Database Architecture

Designing optimized schemas, managing transactions, and handling locking.

PostgreSQLSchema DesignConcurrency Control

System Design

Crafting secure SaaS foundations, workspaces, and decoupled systems.

Multi-Tenant ArchitecturesRBACMicroservices

AI/ML Integration

Integrating complex deep learning pipelines into high-performance web systems.

Serving Deep Learning ModelsGrad-CAM HeatmapsExplainable AI

Selected Works

Case Studies & Projects

Detailed breakdown of engineering achievements in web, systems, and deep learning.

PythonDjangoDeep LearningGrad-CAM

AI-Powered Ocular Disease Screening System

Developed the backend infrastructure for a healthcare screening application. Successfully integrated deep learning diagnostic models into a production-ready Django environment, utilizing Grad-CAM heatmaps to provide explainable AI outputs for medical review.

Key Architectural Focus:
  • >Grad-CAM processing engine to map diagnostic weight areas.
  • >Model prediction pipelines integrated natively within Django tasks.
  • >Highly-visible visual highlight zones for diagnostic review.
AI ExplainabilityGrad-CAM Heatmaps
FrameworkDjango REST-Framework Tensorflow EffecientNet
AuditabilityExplainable Output
Architecture Blueprint
[Explainable AI Diagnostic]
High Severity Zone (Red)
Grad-CAM Activation Grid
Backend Latency: ~140ms | DL Inferences Served
PythonDjangoFastAPIPostgreSQL

Multi-Tenant SaaS Platform

Engineered a robust multi-tenant backend architecture for a SaaS platform. Designed scalable PostgreSQL schemas and implemented comprehensive organization-based workspaces with strict Role-Based Access Control (RBAC).

Key Architectural Focus:
  • >Dynamic schema selection and strict tenant data isolation.
  • >Granular permission controls with role hierarchical overrides.
  • >FastAPI service endpoints optimized for quick metadata queries.
ArchitectureTenant-Isolation
SecurityRBAC & Workspaces
Primary DBPostgreSQL
Architecture Blueprint
[DB Schema Isolation]
organization (Tenant A)ID: 0x9f1a
└─ users (roles: ADMIN, DEV)RBAC Active
└─ workspaces (isolated data)Row-Level Security
Postgres Engine: SELECT * FROM t WHERE tenant_id = '0x9f1a'
JavaJava RMI

Distributed Voting System

Built a highly secure and reliable distributed voting application using Java RMI (Remote Method Invocation). Implemented strict concurrency control mechanisms to ensure data integrity and accurate vote tabulation across distributed network nodes.

Key Architectural Focus:
  • >Network-level Java RMI remote interface implementations.
  • >Mutex mechanisms preventing double-voting race conditions.
  • >Decentralized node syncing for fault-tolerant operation.
ProtocolJava RMI (RPC)
ConcurrencyDistributed Locks
State ConsensusAtomic Tabulation
Architecture Blueprint
[Distributed Consensus Map]
Node AMUTEX LOCK
Node RegistryRMI REGISTRY
Node BSync Pending
Tabulation Sync: AtomicInteger Thread-Safe

Qualifications

Education & Certifications

Academic foundations and professional certifications.

Academic Degree

Bachelors of Science in Software Engineering

PMAS Arid Agriculture University

Graduated in: 2026Islamabad, Pakistan
Key Focus & Achievements:
  • └─Developed an AI-Powered Multi-Class Ocular Disease Screening System using EfficientNet-B3 models and Grad-CAM as a Final Year Project
  • └─Completed advanced coursework focused on Software Construction, Object Oriented Programming and Data Structures, Artificial Intelligence and Database Management System..
  • └─Integrated Gemini API into digital healthcare platforms to enhance data pipeline capabilities.
Professional Credential

Google Career Certificate: Data Analytics

Google (via Coursera)

Completed Professional CertificateCredential Online
Key Focus & Achievements:
  • └─Mastered data cleaning, analysis, visualization, and SQL query optimization.
  • └─Learned Python and R programming language and data visualization using Tableau.
  • └─Applied analytical processes to solve complex data-driven business challenges.
Professional Credential

Google IT Automation with Python

Google (via Coursera)

Completed Professional CertificateCredential Online
Key Focus & Achievements:
  • └─Acquired in-demand skills in Python programming and IT automation to streamline system administration tasks.
  • └─Demonstrated proficiency in version control using Git and GitHub for collaborative development.
  • └─Developed the ability to write scripts for configuration management and apply automation at scale within Cloud environments.