// 01 — FULL-STACK
Full-Stack Web Development
End-to-end modern web applications featuring reactive user interfaces, high-performance APIs, and scalable architectures.
React.jsNext.jsTypeScriptJavaScriptTailwind CSSRESTful APIsWebSockets
Loading
// 000 — INTRO
Full Stack Developer & AI Engineer
BuildingReal-WorldSystems
Full-Stack Software Engineer & AI Solutions Developer building production-grade web applications, autonomous AI systems, and scalable backend architectures across modern tech stacks.
10+
Projects Shipped
5+
Live Deployments
M. Mubeen Ejaz · PAK
// 001
About
Self-taught.
Impact-driven.
Builder.
I'm M. Mubeen Ejaz, a BSCS graduate from COMSATS University Islamabad (CGPA 3.75 / 4.00) with a relentless focus on architecting software that thrives in production.
My expertise spans full-stack web engineering, scalable backend architectures, RAG-based AI systems, database design, and end-to-end cloud deployments.
I've independently built, deployed, and scaled production systems — from customer support SaaS and legal consultation platforms to commercialized clinical ML tools and VPS-hosted applications.
Full-Stack WebBackend EngineeringAI & Machine LearningReact / Next.jsNode.jsPython / DjangoPHP LaravelPostgreSQL / MongoDBCloud & DevOpsSystem Architecture
BS Computer Science
COMSATS University Islamabad
CGPA 3.75 / 4.0BS Computer ScienceCOMSATS UniversityPakistan
Technical
Expertise
Production-grade
skills across
the full stack
skills across
the full stack
// 02 — BACKEND
Backend & Systems Architecture
Robust, production-grade backends, relational & NoSQL database schemas, asynchronous queues, and microservice integrations.
PythonDjangoNode.jsPHP LaravelPostgreSQLMongoDBMySQLRedis
// 03 — AI
AI & Machine Learning
Custom RAG pipelines, autonomous AI agents, LLM integrations (OpenAI / Anthropic), and predictive ML classification models.
RAG SystemsVector DBsAI AgentsOpenAI APIScikit-LearnPandasNLP
// 04 — DEVOPS
DevOps, Cloud & Automation
Automated CI/CD workflows, Linux VPS administration, reverse proxy configurations, and desktop/workflow automation utilities.
Linux VPSUbuntuNginxDockerVercelRenderGit/GitHubPyQt
Featured
Projects
P—01
SupportDesk
Enterprise customer support workspace featuring multi-tier role-based access control (Admin, Supervisor, Agent), complete ticket lifecycle management, and AI-assisted reply suggestions.
- Role-based access control with JWT authentication
- Ticket lifecycle workflows (status, priority, assignment)
- Customer message history & private internal notes
- AI-assisted response suggestions via LLM completions
- Decoupled production deployment on Render & Vercel
DjangoDjango REST FrameworkReactMongoDBAI / LLMRenderVercel
P—02
LegalMate
AI-powered legal consultation SaaS platform connecting clients with verified legal practitioners, featuring real-time WebRTC video, chat, and RAG-based AI legal assistant.
- RAG-based AI chatbot with localized legal retrieval (94% accuracy)
- Real-time video calling via WebRTC and instant messaging
- Appointment scheduling calendar with automated email alerts
- Multi-subdomain architecture and secure client-lawyer portal
Full-StackReactNode.jsWebRTCSocket.IORAG / AIMongoDB
P—03
Bologna — Admission & Verification Portal
Full-stack academic portal for managing student admissions, document verification, postal certificate requests, and automated PDF certificate generation.
- Student admission workflows and document verification
- Automated background cron jobs for document expiry tracking
- Automated PDF certificate generation with digital stamps
- Role-based admin dashboards with audit logging
ReactNode.jsExpressMySQLTailwind CSSPDF Engine
P—04
Intelligent Attendance & Telemetry System
Automated attendance tracking and telemetry system with a lightweight PyQt desktop interface, biometric/camera verification, and automated reporting.
- Biometric and camera verification workflows
- Automated timestamp logging and attendance overrides
- Excel and PDF report generation
- Local database synchronization
PythonPyQt DesktopOpenCVSQLiteAutomation
P—05
Clinical Disease Prediction System
Supervised machine learning diagnostic platform predicting clinical disorders from symptom patterns with 92% accuracy, transferred to a local clinic for active screening.
- Multi-disease supervised classification pipeline
- 92% diagnostic accuracy validated on clinical datasets
- Successfully commercialized and deployed to local clinic
- Lightweight web interface for practitioner screening
Machine LearningPythonScikit-LearnFlaskPandas
P—06
Predictive ML & NLP Forecasting Workflows
Rainfall forecasting, diabetes risk prediction, and NLP next-word sequence autocomplete engines.
- Rainfall & diabetes prediction using Random Forest (88%+ precision)
- Next-word prediction using NLTK sequence modeling and autocomplete
- Flask API endpoints for real-time model inference
PythonScikit-LearnNLTKRandom ForestNLPFlask
10+
Production systems built
5+
Live deployments
1st
ML solution sold to client
Solo
Independent SaaS builder
Let's Build
Something
Real.
Have a project that needs a full-stack developer or AI engineer? I'm open to freelance work, contracts, and full-time opportunities.