Full Stack Developer at Codenergy
Hello World, I'm

Zahid Hussain

<MERN Stack/Next.js/AI Integration/>

Crafting high-scale web platforms, responsive corporate applications, and intelligent cloud systems. Built the corporate site for Codenergy, engineered the TechSynergy CRM, launched Zetawala SaaS, and authored published research in AI Healthcare.

React & Next.jsNode.js & ExpressMongoDB AtlasTypeScript & JSThree.js 3D Web
Explore Projects
Connect:codenergy.ae
Zahid Hussain
Full Stack Engineer

Zahid Hussain

Codenergy • Karachi & UAE

QUEST BSCS

3.7 CGPA

AI Researcher
MERN & Next.js
2+
Years Experience
MERN & Next.js Production Work
10+
Projects & Platforms
Full-Stack, SaaS & CRMs Delivered
3.7 / 4.0
Academic Honors
BS Computer Science (QUEST)
1 Paper
AI Publications
Skin Disease ML in IJIST Journal
ABOUT ME & PHILOSOPHY

Engineering with Precision & Vision

A developer who bridges technical backend robustness with cutting-edge 3D and frontend user experiences.

Full-Stack Expertise Focused on Real Value

I am a dedicated Full Stack Developer currently working at Codenergy (a UAE-based software agency with a Karachi branch). I specialize in turning complex requirements into production-ready web platforms, enterprise CRMs, and SaaS products.

From developing the official Next.js platform for Codenergy to architecting on-premise deployments for the TechSynergy CRM, I believe in writing modular, readable, and highly maintainable code. My academic background at QUEST Nawabshah (3.7 CGPA) and training at Cadet College Sanghar instilled a strong analytical mindset and relentless problem-solving drive.

Clean MERN Stack Architecture
Next.js 14 App Router & SSR
Onsite Linux Server Deployment
Published AI Research Author
Leaflet.js Geofenced Solutions
High Core Web Vitals (95+)

Full-Stack Architecture

Architecting performant REST APIs, Next.js web applications, and real-time MongoDB database schemas.

Real-World Production Deployment

Hands-on experience deploying and configuring Linux servers, reverse proxies (NGINX), PM2, and CI/CD pipelines.

AI & Machine Learning Innovation

Published peer-reviewed research applying deep learning (CNNs) to dermatological diagnostics.

Discipline & Engineering Rigor

Formed through Cadet College Sanghar (A1 Grade) and QUEST University (3.7 CGPA).

3D Interactive CoreWebGL Mesh

Full-Stack Tech Node Cluster

Interactive 3D geometry visualizing modern frontend, backend & cloud integrations.

PORTFOLIO & WORK

Featured Projects & Platforms

Production-deployed web applications, enterprise CRMs, SaaS solutions, and open-source APIs.

Enterprise Agency Site95+ Lighthouse Score

Codenergy Corporate Platform

Codenergy (UAE / Karachi)

Official corporate website showcasing services, global client portfolio, and digital solutions for a UAE-based agency.

  • Built with Next.js 14 App Router for lightning-fast SSR & dynamic meta tags
  • Engineered interactive showcase galleries for international enterprise clients
  • Optimized Core Web Vitals to achieve 95+ performance scores
Next.jsReactTypeScriptTailwind CSSFramer MotionSEO Optimization
Production Deployed CRMFull Server Lifecycle

TechSynergy Enterprise CRM

TechSynergy

Comprehensive full-featured CRM platform for sales pipelines, client relationships, and workflow automation.

  • Full lead tracking, deals pipeline, customer lifecycle management, and task delegation
  • Role-based access control (RBAC) with secure JWT and session management
  • Independently provisioned and deployed on on-premise production server
MERN StackNode.jsExpressReactMongoDBJWT AuthLinux VPSREST APIs
Live SaaS ProductLive Production SaaS

Zetawala SaaS Suite

High-growth web SaaS platform offering AI SEO, content automation, YouTube workflows, and productivity tools.

  • Engineered automated YouTube title, script, and tag optimization engines
  • Built SEO analysis suite with structured metadata extraction and keyword analyzers
  • Integrated scalable serverless API endpoints and responsive design
Next.jsTypeScriptTailwind CSSSaaSAI IntegrationSEO Tools
Geofenced IoT/WebGPS Verified Accuracy

Geofenced Location Attendance System

Sindh Tech Solutions

Real-time GPS geofenced attendance tracking and workforce management platform with interactive maps.

  • Interactive Leaflet.js geofencing verification preventing proxy or remote clock-ins
  • Company-wide project tracking, sprint milestones, and attendance analytics
  • Automated timesheet calculation and monthly payroll-ready report generation
ReactNode.jsLeaflet.jsMongoDB AtlasBootstrapGeoJSONExpress
Civic Healthcare APIREST API Suite

Digital Nawabshah Healthcare API

Scalable municipal healthcare backend API indexing medical institutions, doctors, labs, and pharmacies.

  • Modular REST endpoints structured for massive concurrent city queries
  • Geo-indexed MongoDB queries for nearest pharmacy and clinic discovery
  • Extensible data schema for future civic service integrations
Node.jsMongoDBExpress.jsREST API ArchitectureGeo-indexing
Global B2B PortalB2B E-Commerce

Himalayan Pink Salt Global E-Commerce

Sindh Tech Solutions

International exporter e-commerce portal and product showcase for natural Himalayan salt products.

  • High-resolution product catalog with bulk export calculators
  • Lead capture pipeline for international B2B inquiries
  • Optimized image loading and smooth catalog browsing
ReactNode.jsMongoDBTailwind CSSE-Commerce
ACADEMIC & RESEARCH INNOVATION

Published AI Research

Peer-reviewed scientific contribution combining deep learning computer vision and healthcare accessibility.

Peer-Reviewed Research2024 / 2025
International Journal of Information and Science Technology (IJIST)

Digital Dermatologist: An AI-Powered Mobile App for Early Detection of Skin Diseases

Author: Zahid Hussain (Zahid Jamali) • QUEST Nawabshah

Executive Abstract

Developed an AI-powered application for early detection and classification of dermatological conditions using machine learning and deep convolutional neural networks. The system analyzes captured skin lesion images in real-time, providing diagnostic probability indicators and preliminary clinical guidance to reduce hospital burdens and democratize early diagnosis in underserved regions.

Key Methodologies & Contributions

Trained deep learning convolutional models on multi-class dermatological datasets
Real-time image pre-processing, noise reduction, and segmentation pipeline
Mobile-first accessible UX empowering individuals to monitor skin health proactively
Peer-reviewed and published in an indexed international research journal
Indexed in International Journal of Information and Science Technology
Read Full Publication
JOURNEY & TRAJECTORY

Work Experience & Education

A proven record of engineering enterprise systems, deploying production software, and academic distinction.

Work Experience

Full Stack Developer

Current Role

Codenergy

Oct 2025 – PresentKarachi, Pakistan (UAE HQ)

Contributing to high-scale corporate platforms and international client engagements across UAE, Middle East, and Pakistan.

Key Contributions:

Engineered and launched the official Codenergy Next.js corporate platform with 95+ performance metrics.
Developed the TechSynergy CRM with full lead-to-deal automation and on-premise Linux server deployment.
Constructed modular REST APIs and integrated MongoDB Atlas clusters for real-time customer data.
Collaborated closely with UAE cross-functional teams in an agile, sprint-driven workflow.
Next.jsReactNode.jsExpressMongoDBTypeScriptDevOpsTailwind CSS

Full-Stack Developer

Sindh Tech Solutions

Mar 2024 – May 2025Nawabshah / Karachi, Pakistan

Built foundational business platforms, internal company management systems, and e-commerce solutions.

Key Contributions:

Architected the Location-Based Attendance & Task System with real-time Leaflet.js GPS verification.
Developed international e-commerce website for Himalayan Pink Salt with B2B inquiry pipelines.
Built scalable REST APIs and managed database schemas ensuring sub-100ms query response times.
Mentored junior developers on Git workflows, component modularity, and API design principles.
ReactNode.jsMongoDBLeaflet.jsBootstrapREST APIsGit

Education & Honors

Bachelor of Science in Computer Science (BSCS)

Quaid-e-Awam University of Engineering, Science & Technology (QUEST), Nawabshah

CGPA (Honors)3.7 / 4.0
2021 – 2025
Graduated with stellar 3.7 CGPA with specialization in Web Technologies & AI
Authored and published peer-reviewed AI healthcare research paper in IJIST
Developed multiple campus and civic software projects including Digital Nawabshah

Higher Secondary Certificate (HSC) / Intermediate (Pre-Engineering)

Cadet College Sanghar

Academic GradeA1 Grade
2019 – 2021
Rigorous military & leadership training fostering extreme discipline, team management, and problem solving
Top-tier academic excellence in Mathematics, Physics, and Analytical Sciences
Leadership & Cadet College Foundation

Rigorous boarding academy upbringing in Cadet College Sanghar nurtured high discipline, time management, resilience, and rapid collaborative execution.

TECHNICAL CAPABILITIES

Comprehensive Tech Stack

End-to-end full-stack development toolkit with specialized proficiency in reactive user interfaces, high-concurrency backends, and AI models.

React.js

2+ Years
Proficiency95%
Production Verified

Next.js (App Router / SSR)

2+ Years
Proficiency94%
Production Verified

JavaScript (ES6+)

3 Years
Proficiency96%
Production Verified

TypeScript

2 Years
Proficiency90%
Production Verified

Tailwind CSS

2+ Years
Proficiency95%
Production Verified

Three.js / WebGL 3D

1+ Years
Proficiency85%
Production Verified

Framer Motion & UI Motions

2 Years
Proficiency92%
Production Verified

HTML5 / CSS3 / SCSS

3+ Years
Proficiency98%
Production Verified

Full-Stack Engineering

MERN Stack, Next.js App Router, SSR/SSG, JavaScript & TypeScript, Tailwind CSS, and reactive state architectures.

DevOps & Production Servers

Linux production server setups, NGINX reverse proxies, PM2 cluster management, MongoDB Atlas clusters, and CI/CD pipelines.

3D Web & AI Integration

Three.js WebGL rendering, Framer Motion UI seeds, CNN machine learning models, and Leaflet.js GPS mapping.

LET'S CONNECT

Initiate a Conversation

Whether you have a high-impact project, an engineering role, or a challenging problem to solve — let's build something extraordinary together.

Email Address
Primary

Zahid.jamali4848@gmail.com

Phone & WhatsApp
Direct Line

+92 335 3563929

Karachi, Pakistan

Available for Onsite (Karachi/UAE) & Global Remote

GitHub Repositories

github.com/zahid-jamali

Send a Direct Message

Fill out the form below and it will directly route your message to Zahid's personal inbox.