I am a distinguished Backend Developer and Machine Learning Engineer specializing in building comprehensive end-to-end systems that integrate robust backend architectures with intelligent AI capabilities. My expertise spans from database design and API development to advanced machine learning model deployment, creating scalable production-grade solutions that solve real-world business challenges.
- π¬ Research: Advanced ECG biometric authentication systems at CardioAuth
- π± Learning: MLOps, Cloud-Native AI Infrastructure, and Advanced System Architecture
- π€ Collaborating: Open to partnerships on innovative backend and AI integration projects
- π― 2025 Goals: Contribute to open-source ML frameworks and enterprise-grade backend solutions
- π‘ Expertise: Full-Stack Backend Systems, Machine Learning Pipelines, Database Architecture, API Design, AI Integration
Comprehensive Flask-based platform enabling companies to create, train, and deploy intelligent chatbot agents with advanced NLP capabilities and enterprise-grade scalability.
π’ Platform Overview
- Multi-Agent Management: Create specialized chatbots for different business functions
- Custom Training: Upload documents, connect databases, integrate websites
- Enterprise Scale: Multi-tenant architecture with complete data isolation
- Advanced Analytics: Lead conversion tracking and performance monitoring
π Core Features
- Technologies:
FlaskPostgreSQLRedisCeleryJWTVector Search - AI Integration:
Gemini APICustom EmbeddingsOCR Processing - Data Sources:
XMLPDFDOCXCSVJSONDatabasesWebsites - Security: Multi-level authentication, data encryption, audit logging
π Technical Architecture
- Backend: Flask with SQLAlchemy ORM and connection pooling
- Queue System: Celery workers for asynchronous processing
- Cache Layer: Redis for high-performance caching and message brokering
- Database: PostgreSQL with multi-tenant data isolation
- Status: π’ Production Ready
Comprehensive financial technology solution addressing unique challenges of digital payments in the Syrian market with telecom integration and advanced security features.
π Key Value Propositions
- Telecom Integration: Seamless MTN Cash and Syriatel Cash top-up
- P2P Transfers: Instant, secure money transfers between users
- Digital Commerce: Game credits, e-cards, and digital services
- Multi-language Support: Arabic and English interface
π Core Features
- Technologies:
FlaskPostgreSQLJWTRedisRate Limiting - Security: Multi-factor authentication, end-to-end encryption, audit logging
- Financial Operations: Real-time balance updates, configurable limits, escrow system
- Admin Tools: Real-time dashboard, transaction monitoring, fraud detection
π° Financial Architecture
- Currency Support: Syrian Pound (SYP) with multi-currency readiness
- Transaction Processing: Real-time with comprehensive fee management
- Compliance: KYC-compliant profiles and regulatory reporting
- Status: π’ Active Development
CardioAuth - ECG Biometric Authentication
Advanced biometric authentication system utilizing electrocardiogram signals with deep learning models for secure identity verification.
- Technologies:
PythonTensorFlowPyTorchSignal ProcessingFlask - Features: Real-time ECG analysis, Neural network classification, RESTful API
- ML Pipeline: End-to-end training, preprocessing, and inference system
- Status: π’ Research & Development
- β Open-source major backend framework contributions
- π Publish research on AI-backend integration patterns
- π Launch production CardioAuth system for healthcare sector
- π¨βπ« Mentor backend developers in AI integration techniques
- ποΈ Establish backend architecture best practices documentation
- π« Biometric authentication in distributed systems
- π₯ Healthcare AI backend infrastructure
- π° Blockchain integration with traditional backend systems
- π Edge computing for ML inference
- βοΈ Ethical AI deployment in production environments
- π Advanced security patterns for AI-powered applications





