• 🚀 Building intelligent applications with Python, JavaScript, and AI/ML
• 📊 Background in Project Management, Data Analysis & Business Intelligence
• ☁️ Cloud deployment experience with AWS (EC2, RDS, Route 53)
• 🔐 Cybersecurity background with hands-on cloud security experience
• 💼 Open to collaborating on AI projects, full-stack applications, and cloud deployments

AI-powered AWS certification study platform with comprehensive exam preparation

Tech Stack: JavaScript, HTML5, CSS3, LocalStorage API Highlights:

• ✅ 540+ curated practice questions (34 CLF-C02 + 506 SAA-C03)
• 🎓 Smart Study Guide with AI-analyzed content and domain-specific tips
• ⏱️ Full-length mock exams matching real certification format
• 📊 Progress tracking with accuracy metrics and weak area identification
• 🔍 Services reference for 30+ core AWS services
• 💾 100% client-side - no backend required, all data stored locally

Key Achievement: Comprehensive certification prep platform with intelligent study recommendations

Production-grade health tracking platform with comprehensive analytics

Tech Stack: JavaScript, Node.js, PostgreSQL, Chart.js Highlights:

• ✅ 1,927 comprehensive tests (82% coverage!)
• 📊 Real-time analytics with interactive visualizations
• 💊 Medication tracking with interaction warnings
• 🏃 Exercise & sleep monitoring with goal setting
• 📈 Progress tracking and trend analysis
• 🔄 CI/CD pipeline with GitHub Actions

Key Achievement: Large-scale application demonstrating production-ready code quality

Canadian tax calculator with federal & Quebec income tax, RRSP optimization

Tech Stack: JavaScript (ES6+), HTML5, Jest, c8 Coverage Highlights:

• ✅ 110 comprehensive tests (100% coverage!)
• 🇨🇦 Federal + Quebec tax calculations (2025 rates)
• 💼 RRSP contribution optimizer
• 📊 Tax bracket analysis and visualization
• 🌐 Bilingual support (English/French)
• 💰 Credits calculator (Solidarity Credit, Work Premium, CWB)

Key Achievement: 100% test coverage on complex financial calculations

Specialized tax planning for rideshare & taxi drivers

Tech Stack: JavaScript (ES6+), Node.js, Jest, c8 Coverage Highlights:

• ✅ 78 comprehensive tests (100% coverage!)
• 🚙 Vehicle expense optimizer (simplified vs detailed methods)
• 📱 Auto-parse Uber/Lyft/taxi income statements
• 💰 Quarterly tax planner with weekly savings targets
• 💼 Self-employment tax calculator (QPP/CPP)
• 🌐 Bilingual (English/French)

Key Achievement: Specialized niche solution for gig economy drivers

Mental health support platform with AI analysis and 24/7 WhatsApp chatbot

Tech Stack: Python, Flask, Firebase, LangChain, OpenAI, Twilio Highlights:

• ✅ Professional CI/CD pipeline (multi-version testing, security scanning)
• 🏥 Standardized PHQ-9 depression & GAD-7 anxiety assessments
• 🤖 AI-powered sentiment analysis with LangChain + OpenAI
• 💬 24/7 WhatsApp chatbot support via Twilio
• 🔒 HIPAA-compliant design with crisis detection
• 📊 Interactive dashboard with progress tracking

Key Achievement: Healthcare technology with AI/ML integration

Advanced AI assistant system with modular cognitive architecture

Tech Stack: Python, Machine Learning, Deep Learning Highlights:

• 🧠 Modular cognitive architecture for intelligent reasoning
• 🎯 Intelligent planning system with multi-stage decision making
• 🔄 Context-aware responses with memory management
• 🛠️ Extensible plugin system for custom capabilities
• 📝 Natural language understanding and generation

Key Achievement: Sophisticated AI assistant demonstrating advanced ML/AI concepts

Privacy-focused media processor with local GPU encryption

Tech Stack: Python, AES Encryption, GPU Processing Highlights:

• 🔒 AES-256 encryption for secure media storage
• 🖼️ Download images and videos from cloud storage
• 💻 Local GPU processing for privacy (no cloud uploads)
• 📦 Automated workflow: download → encrypt → process
• 🛡️ Privacy-first architecture

Key Achievement: Privacy-focused media processing with enterprise-grade encryption

Real-time gym occupancy tracker with AI-predicted peak times

Tech Stack: JavaScript, Real-time Data Processing Highlights:

• 📊 Real-time crowd level monitoring
• 🤖 AI-predicted peak times for optimal workout planning
• 📈 Historical trend analysis
• 💡 Smart notifications for low-occupancy periods
• 📱 Mobile-responsive design

Key Achievement: Practical IoT/AI application solving real-world gym planning problems

Languages: Python, JavaScript (ES6+), HTML5, CSS3, SQL Frontend: Vanilla JS, Chart.js, Responsive CSS Backend: Node.js, Express, Flask, Gunicorn Databases: PostgreSQL, Firebase Firestore (NoSQL), LocalStorage API AI/ML: LangChain, OpenAI GPT-4, Sentiment Analysis, Predictive Models Cloud: AWS (EC2, RDS, Route 53), GitHub Pages Testing: Jest, pytest, c8 Coverage, Comprehensive Test Suites DevOps: GitHub Actions CI/CD, Docker, Multi-version Testing Tools: Git, npm, pip, ESLint, Prettier

Demonstrates: Testing best practices, clean code, professional documentation, production-ready applications

• 📧 Email: ihabsaloum85@gmail.com
• 💼 GitHub: @Isaloum
• 💡 Open to: Collaborating on AI projects, full-stack applications, and cloud deployments