TaskManager - Enterprise Task Management Platform

🚧 Currently in active development — Live demo coming soon!

Building a production-ready, full-stack task management system designed with enterprise-grade architecture from the ground up. While it may seem overengineered for a "simple" task manager, the goal is to demonstrate how to build scalable SaaS infrastructure that could support features like multi-tenant team workspaces, user-based rate limiting (similar to Microsoft Teams), and enterprise collaboration — all ready for growth.

💭 Motivation:
This project serves as a technical portfolio piece proving senior-level proficiency in modern web development, microservices architecture, and DevOps practices. Every architectural decision is intentional and production-ready, designed to scale from a personal tool to a full SaaS platform without rewriting the foundation.

Real-time Communication:

• Laravel Reverb WebSocket server for instant task updates and live notifications
• Presence channels showing who's online in real-time
• Desktop and in-app notification system with configurable preferences

Authentication & Security:

• Multi-factor authentication: Passkeys (WebAuthn biometric), TOTP 2FA, and traditional credentials
• SSO integration with Google, Microsoft, GitHub, and Apple OAuth providers
• Laravel Sanctum API tokens with rate limiting and brute-force protection
• Team-based RBAC (Role-Based Access Control) for enterprise authorization scenarios

Task Management Features:

• Full CRUD with categories, flexible tagging, file attachments, and collaborative comments
• Recurring tasks (daily, weekly, monthly, yearly) with subtask breakdown
• Due dates, reminders, and activity logs archived to MongoDB for analytics
• Meilisearch-powered full-text search with typo tolerance, faceted filtering, and instant autocomplete

Hybrid API Architecture:

• RESTful API with OpenAPI/Swagger interactive documentation
• GraphQL API (Lighthouse) with GraphiQL playground for flexible queries
• Dual API strategy: REST for CRUD simplicity, GraphQL for complex dashboard aggregations

Observability & Monitoring:

• Sentry integration for error tracking and performance monitoring
• Laravel Telescope for request debugging and Laravel Horizon for queue monitoring
• Redis caching with configurable TTL for dashboard statistics
• Health check endpoints and CSP headers with nonce support

Production Infrastructure:

• 18 Kubernetes manifests with HPA auto-scaling, network policies, and ingress configuration
• PostgreSQL (primary ACID DB), MongoDB (activity logs), Redis (cache/pub-sub), RabbitMQ (message queue)
• 3 deployment profiles: Minimal (optimized for 4GB RAM demo VPS), Standard (production), Enterprise (K8s HA)
• Graceful degradation: RabbitMQ falls back to Redis queues, Meilisearch falls back to DB search

DevOps & Quality:

• 7 CI/CD GitHub Actions workflows with automated testing and security scanning (Trivy)
• Pest PHP testing framework with 120+ test cases and code coverage via Codecov
• k6 load testing suite (smoke, load, stress, spike scenarios up to 500 concurrent users)
• Automated screenshot generation via Playwright on each release
• PHPStan Level 8 static analysis, Pint/PHP-CS-Fixer code styling

Internationalization:

• Full i18n support with 3 languages: English, German, Turkish
• Vue I18n integration for frontend localization

CrossPacket - Multi-Language Packet Generator

Built a cross-platform data packet generator that generates type-safe serialization code for 9 programming languages from a single JSON schema definition. Define packets once, generate everywhere — optimized for WebSocket communication, real-time applications, and microservices requiring consistent data structures across polyglot tech stacks.

Supported Languages & Libraries:

• C# - System.Text.Json (built-in) + MessagePack-CSharp
• C++ - yyjson + msgpack-c libraries
• Dart/Flutter - dart:convert (built-in) + msgpack_dart
• Go - encoding/json (built-in) + vmihailenco/msgpack
• Java - Jackson + msgpack-java (Maven/Gradle compatible)
• PHP - PSR-12 compliant with json (built-in) + msgpack-php
• Python - PEP 8 compliant with json (built-in) + msgpack-python
• Rust - serde_json + rmp-serde for serialization
• TypeScript - JSON (built-in) + @msgpack/msgpack

Core Features:

• Dual serialization: JSON for debugging/interoperability, MessagePack for performance
• JSON Schema validation with packets.schema.json for packet definitions
• Field-level validation: regex patterns, bounds checking, required fields, type enforcement
• Security utilities for Python and C# with configurable size limits and input validation
• Idiomatic code generation following each language's official style guidelines
• Deep map conversion for safe handling of nested msgpack structures
• Timezone-aware datetime with ISO 8601 format
• Configurable type_field for packet type identification
• Optional formats via --no-msgpack or --no-json CLI flags

Generated API (Consistent Across All Languages):

• Default and parameterized constructors for flexible initialization
• toJson() / toMsgPack() for serialization
• fromJson() / fromMsgPack() static methods for deserialization
• Getters/setters with language-appropriate naming conventions

Testing & Quality:

• Comprehensive test suites for all 9 languages with 95%+ coverage target
• GitHub Actions CI testing all languages in parallel with Codecov integration
• Edge case coverage: integers (INT_MAX/MIN), floats (NaN, Infinity), nested structures, unicode
• Canonical test data ensuring identical serialization behavior across all implementations

Ideal Use Cases:

• WebSocket communication between mobile apps and backend servers
• Microservices with polyglot architecture needing shared data contracts
• Real-time gaming, IoT, and high-performance applications
• Mobile apps with bandwidth constraints (MessagePack is more compact than JSON)

ReceiptSnapper - AI-Powered Receipt Management

🚧 Currently in active development

Developing a comprehensive cross-platform personal finance and receipt management application using Flutter. The app combines AI-powered OCR technology for automatic receipt data extraction with full budget tracking, spending analytics, and German-compliant bookkeeping features (GoBD/DATEV export).

OCR & Image Processing:

• Multi-engine OCR pipeline: Google ML Kit (mobile), Tesseract (desktop)
• YOLOv8 receipt boundary detection via TensorFlow Lite with automatic cropping for improved OCR accuracy
• Platform abstraction layer enabling unified API across Windows, macOS, Linux, iOS, and Android
• Intelligent receipt parsing with pattern recognition for amounts, dates, vendors, and VAT rates

Finance & Budget Features:

• Full budget management with income/expense tracking and recurring transactions
• Interactive statistics with multiple chart types (pie, bar, line, area, stacked)
• Smart spending insights with weekly/monthly summaries and anomaly detection
• Tax report generation with German tax category support (SKR03/04 accounts)
• DATEV-compatible export for professional accounting integration

Security & Data Management:

• PIN and biometric authentication with hardware-backed encryption (Android Keystore/iOS Keychain)
• PBKDF2 key derivation (100,000 iterations) with tamper detection and auto-wipe protection
• Multi-format export: CSV, Excel, PDF, JSON, and SQLite database backup
• GoBD-compliant audit trail logging for German bookkeeping requirements

Cloud Sync (Architecture Complete, Implementation Planned):

• Designed multi-provider cloud sync architecture supporting Google Drive, OneDrive, Dropbox, and iCloud
• Append-only sync strategy for safe multi-device and shared account usage
• Automatic conflict resolution with merge, local-wins, and cloud-wins strategies

Technical Stack:

• Drift (SQLite) with type-safe queries and automatic schema migrations
• fl_chart for interactive financial visualizations
• Full i18n support (German/English) with flutter_localizations
• CI/CD with GitHub Actions for automated testing and release builds