Full-Stack Developer & AI/ML Engineer crafting production-ready applications with advanced AI assistance. I specialize in scalable web platforms, real-time systems, and machine learning solutions that serve real users.

• 🎮 Gaming Platforms - Real-time community systems with WebSocket architecture
• 🤖 AI/ML Solutions - Voice detection, predictive analytics, automation
• 📚 EdTech Systems - Enterprise-grade school management platforms
• ☁️ Cloud Infrastructure - AWS deployment with SSM Parameter Store security
• 🎓 Continuous Learning - GitHub Education Student Developer Pack verified
• 🔐 Security-First - Production-grade authentication, encryption, and compliance
• 🌟 Transparent Development - AI-assisted workflows with honest disclosure

AI-Enabled School Operating System (Development Branch: v3)

Building a production-grade, multi-tenant school management platform that combines traditional ERP with AI-powered insights:

🏗️ Architecture:

• Multi-tenant SaaS with complete data isolation
• Offline-first progressive web app with conflict resolution
• Event-sourced state management for audit compliance
• Microservices backend with API gateway pattern

🤖 AI Features:

• Attendance anomaly detection & pattern analysis
• Academic risk prediction & early intervention alerts
• Intelligent form validation & data deduplication
• Natural language processing for report generation

🔐 Enterprise Features:

• Advanced RBAC with field-level permissions
• Payment processing with idempotent webhooks
• Workflow automation engine with sandbox testing
• LTI 1.3 integration for external learning tools
• Disaster recovery with point-in-time restoration

🚧 Status: Active development - Architecting the next generation of education management systems with AI governance and ethical intelligence at the core.

• Fisher-Yates Shuffle - Cryptographically fair randomization for raffle ticket distribution
• Token Bucket Rate Limiting - MongoDB-backed rate limiter with distributed lock support
• Event Sourcing - Immutable audit logs with point-in-time state reconstruction
• Conflict Resolution - CRDT-inspired offline-first sync with last-write-wins strategy

• Real-time WebSocket Engine - Crash game supporting 100+ concurrent players with sub-100ms latency
• Multi-language ML Pipeline - 5-language voice AI models with unified inference API
• Multi-tenant SaaS - Row-level security with tenant isolation and cross-tenant analytics
• Microservices Pattern - API gateway with service mesh and circuit breaker pattern

• Google Apps Script Automation - Drive file triggers auto-populate Google Sheets via Apps Script
• OAuth 2.0 Implementation - Discord and Kick SSO with PKCE flow and token refresh
• Payment Webhooks - Idempotent payment processing with replay attack prevention
• GPU Model Training - NVIDIA Tesla T4 training pipeline with 100GB+ dataset handling

• AWS SSM Parameter Store - Encrypted secrets management with automatic rotation
• Queue Concurrency Control - Max 3 concurrent requests with graceful degradation
• Privacy-First Architecture - Transient audio processing with zero persistence
• Username Masking - GDPR-compliant public leaderboards with PII protection

🚀 Production Excellence

• All featured projects live and serving real users in production
• Zero-downtime deployments with blue-green strategy
• 99.9% uptime SLAs with comprehensive monitoring

🔐 Security & Compliance

• Production-grade authentication (JWT, OAuth 2.0, bcrypt)
• AWS SSM for secrets, rate limiting, input validation
• GDPR compliance, audit trails, data encryption at rest

☁️ Cloud Architecture

• AWS deployment with Infrastructure as Code
• Vercel serverless for edge computing
• PM2 + Nginx for traditional VPS setups

⚡ Scalability & Performance

• MongoDB Atlas with sharding strategies
• WebSocket horizontal scaling with Redis pub/sub
• CDN integration and edge caching

🤖 AI/ML Production

• PyTorch 2.x for deep learning
• GPU training optimization (Tesla T4)
• ML model versioning and A/B testing
• Production monitoring and drift detection

🔗 API Development

• RESTful API design with OpenAPI specs
• GraphQL for complex data requirements
• Webhook security and retry logic
• Rate limiting and abuse prevention

📦 Full-Stack Expertise

• React 18/19 with TypeScript
• Node.js microservices
• Python for ML/data pipelines
• Database design and optimization

AI-Assisted Development Approach:

I leverage cutting-edge AI tools (GitHub Copilot, ChatGPT, Claude, etc.) to accelerate development while maintaining full code ownership and quality control. My workflow:

1. AI Generation - Use AI for boilerplate, documentation, initial implementations
2. Human Review - Critically analyze every AI suggestion for security, performance, correctness
3. Manual Integration - Refactor and optimize AI code to match project architecture
4. Comprehensive Testing - Write tests for all AI-generated functionality
5. Honest Disclosure - Transparent about AI contributions in project docs

Quality Standards:

• Zero tolerance for AI-generated security vulnerabilities
• All production code passes linting, type checking, and automated tests
• Performance benchmarking against industry standards
• Code review process even for solo projects

Transparency Commitment:
I believe in honest attribution. Where AI contributed significantly (~65%+ in Telegram Ads MVP), I explicitly disclose it. This isn't about hiding AI usage—it's about showcasing the ability to effectively orchestrate, review, and deploy AI-generated code at production quality.