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Umer Farooq Khan

Senior Full Stack Developer | Backend Specialist | AI/ML Engineer

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About Me

Senior Full Stack Developer with 6+ years of professional experience specializing in scalable backend architectures, AI/ML integration, and enterprise solutions. Proven track record of:

  • Optimizing system performance by 50% and reducing infrastructure costs by 20%
  • Leading Agile teams delivering solutions for 10,000+ users
  • Architecting microservices and ML pipelines for international clients across Gulf region, Europe, and New Zealand
  • Delivering enterprise applications for retail, healthcare, finance, and oil & gas sectors

Currently: Senior Full Stack Developer at YetiTech (New Zealand) | Education: M.Sc. Computer Science | Certifications: Scrum Fundamentals Certified, IELTS Academic (Band 7.0)


Technical Expertise

Core Technologies

PHP Laravel Node.js Python TypeScript JavaScript

Backend & Frameworks

NestJS Express.js Flask Django FastAPI

AI/ML & Data Science

TensorFlow PyTorch scikit-learn OpenCV Pandas

Databases & Caching

MySQL PostgreSQL MongoDB Redis Elasticsearch

DevOps & Cloud

Docker AWS Google Cloud Linux Git

Frontend & APIs

React Next.js GraphQL REST API


Featured Projects

🏒 Al-Asab Internal Management System

Enterprise Node.js Backend | Saudi Arabian Oil & Gas Company

  • Architected scalable backend serving 15+ departments and 200+ users
  • Engineered multi-level approval workflows with BullMQ queues and RBAC authentication
  • Implemented real-time WebSocket notifications achieving 99.5% uptime
  • Tech Stack: Node.js, Express.js, MongoDB, BullMQ, Redis, WebSockets, JWT

πŸ€– DeBattle AI - Speech Evaluation Platform

AI-Powered Educational Tool

  • Developed NLP and computer vision system for automated speech evaluation
  • Built facial expression recognition using CNNs (MobileNet, EfficientNet)
  • Engineered NLP pipeline with BERT transformers for sentiment analysis
  • Tech Stack: Python, TensorFlow, PyTorch, BERT, OpenCV, Flask

πŸ“„ OCR Invoice Scanner

Intelligent Document Processing | German Client

  • Achieved 92% accuracy in invoice data extraction using Tesseract OCR
  • Implemented advanced image preprocessing and multithreaded processing pipeline
  • Designed data extraction pipeline with Pandas/NumPy and PostgreSQL
  • Tech Stack: Python, Tesseract, OpenCV, Pandas, PostgreSQL, Alembic

πŸ’° BudgetBuddie v2

Full-Stack Finance Platform

  • Reduced API response time from 30s to 5s (83% improvement) through optimization
  • Integrated PCI-compliant payment processing (Stripe, PayPal)
  • Increased transaction success rate by 20%
  • Tech Stack: Laravel, Node.js, MySQL, Redis, Stripe, PayPal

Professional Impact

πŸ“ˆ Performance Optimization    β†’ 50% improvement in system performance
πŸ’° Cost Reduction             β†’ 20% reduction in infrastructure costs
πŸ‘₯ Users Served               β†’ 10,000+ daily active users
πŸš€ Project Delivery           β†’ 99% on-time delivery rate
⏰ System Reliability         β†’ 99.9% uptime achieved
πŸ‘¨β€πŸ’Ό Team Leadership            β†’ Led teams of 8+ developers

GitHub Statistics

GitHub Streak

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Let's Connect

I'm always interested in discussing challenging technical problems, scalable architectures, AI/ML integration, and enterprise solutions.


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