Services

Overview I build production-grade mobile and web applications that people actually use. From cross-platform mobile apps in Flutter and React Native to full-stack web platforms in TypeScript, I deliver clean, maintainable code with a focus on performance and user experience. My work on TOFY Go! - an English learning app handling 500K+ concurrent users - demonstrates this at scale. What I Can Do For You Mobile Applications Cross-platform apps with Flutter (Dart) or React Native (TypeScript): one codebase, native performance on iOS and Android Native integrations: Camera, GPS, push notifications, biometrics, speech recognition, and offline storage App lifecycle: From App Store / Play Store submission to ongoing maintenance and feature updates Real-world example: TOFY Go! - gamified English learning app for Bee2 AI, built with TypeScript, serving 500K+ users on AWS Web Applications SPA and SSR: React / Next.js for dynamic single-page apps, Hugo for blazing-fast static sites RESTful and GraphQL APIs: TypeScript backends with Express, Fastify, or NestJS Real-time features: WebSocket-based live updates, collaborative editing, push notifications Responsive design: Mobile-first approach that works on every screen size How I Work Discovery: Requirements gathering, wireframing, tech stack selection Development: Agile sprints with CI/CD and automated testing Delivery: Cloud deployment, monitoring, and ongoing support Technologies Frontend: TypeScript, React, Next.js, Flutter/Dart, TailwindCSS Backend: Node.js, Express, NestJS, REST, GraphQL Mobile: Flutter, React Native (Expo) Testing: Vitest, Jest, Playwright DevOps: Docker, CI/CD via GitHub Actions

Overview I build custom WordPress solutions - from boutique WooCommerce stores to enterprise e-commerce platforms integrated with ERP systems. With hands-on production experience building WooCommerce extensions with real-time ERP sync, I understand the full ecosystem: themes, plugins, REST APIs, and third-party integrations. What I Can Do For You WooCommerce Stores Custom store setups: Product catalogs, payment gateways, shipping configurations, tax rules Bulk operations: High-volume product import/export, batch price updates, stock synchronization ERP integration: Real-time sync between WooCommerce and your ERP system via REST API - proven with live MSSQL bridge implementations Rate limiting and logging: Production-ready plugins with throttling and operational visibility WordPress Development Custom themes: Bespoke designs tailored to your brand - responsive, performant, maintainable Plugin development: Custom functionality extending WordPress core without bloat REST API extensions: Expose custom endpoints for headless WordPress or third-party integrations Technologies CMS: WordPress, WooCommerce Language: PHP, JavaScript Database: MySQL, MSSQL (ERP bridge) APIs: WooCommerce REST API, custom REST endpoints Auth: OAuth 2.0, JWT Integrations: Trendyol Fast Market API, custom ERP bridges

Overview I design and build backend systems that scale. From Spring Boot microservices architectures processing thousands of events per minute to distributed systems with service discovery, circuit breakers, and event-driven communication - I deliver server-side infrastructure that is maintainable, observable, and production-ready. What I Can Do For You Microservices Architecture Service decomposition: Break monoliths into independently deployable services with clear domain boundaries Service discovery and configuration: Eureka, Spring Cloud Config for dynamic registration and centralized configuration API Gateway: Spring Cloud Gateway for routing, rate limiting, authentication, and request transformation Resilience patterns: Circuit breakers (Resilience4j), retry logic, bulkheads, and graceful degradation Distributed Systems Inter-service communication: REST, gRPC, or event-driven via message queues Distributed tracing: End-to-end request tracing across service boundaries for debugging and performance analysis Event-driven architecture: SQS, RabbitMQ, or Kafka for asynchronous, decoupled workflows Real-world example: Bilyoner AI Sports Prediction - Spring Boot microservices handling multiple sports leagues, 60+ feature ML models, and real-time prediction updates Backend Development RESTful and GraphQL APIs in Java, TypeScript, or Python Database design: Relational (PostgreSQL, MySQL, MSSQL) and NoSQL (DynamoDB, MongoDB) Background processing: Batch jobs, scheduled tasks, and streaming pipelines Testing and observability: Unit/integration tests, structured logging, metrics, and alerting Technologies Frameworks: Spring Boot, Spring Cloud, NestJS Patterns: Eureka, API Gateway, Circuit Breaker (Resilience4j), distributed tracing Messaging: SQS, RabbitMQ, EventBridge Databases: PostgreSQL, MSSQL, DynamoDB, MySQL Languages: Java, TypeScript, Python

Overview I design and deploy practical AI solutions that automate real business workflows - not generic chatbots, but purpose-built systems connecting your internal data, compliance rules, and operational processes with large language models. From hooking Claude or GPT into your application to building multi-agent orchestration pipelines, I handle the integration layer so AI works naturally within your existing systems. What I Can Do For You LLM and API Integrations Model integration: Connect Claude, GPT, Gemini, or local open-source models to your application via REST APIs or SDKs Context management: Conversation history, session management, and context window optimization Structured output: Parse LLM responses into typed, validated data your application can consume reliably Fallback chains: Graceful degradation across multiple model providers for high availability Retrieval-Augmented Generation (RAG) Knowledge base QA: Question-answering over your company documentation, policies, product catalogs, and technical manuals Vector search: Embedding pipelines with vector databases for semantic search over large document collections Real-world example: TOFY Go! - custom RAG pipelines for TOEFL-specific educational content delivery at Bee2 AI Agentic Systems Multi-agent orchestration: Hierarchies of specialized AI agents - one retrieves data, another analyzes, another formats output Sub-agent delegation: Complex tasks broken into parallel sub-tasks handled by independent AI agents Human-in-the-loop: Critical decisions routed to human approvers before execution Business Process Automation Document processing: Auto-extract, classify, and route invoices, contracts, and forms Reporting automation: AI-generated daily/weekly reports from structured and unstructured data Workflow triggers: Event-driven automation (new order, AI checks inventory, generates response) MCP (Model Context Protocol) Servers Custom MCP servers: Expose your internal tools, databases, and APIs as MCP tools for AI assistants Development tools: Custom MCP servers for code analysis, deployment automation, and DevOps Technologies LLMs: Claude API, OpenAI API, Gemini, open-source models (Llama, Mistral, Qwen) Frameworks: LangChain, custom agent orchestration Data: RAG pipelines, vector databases (Pinecone, Qdrant), structured SQL Protocol: Model Context Protocol (MCP) Integration: REST APIs, webhooks, message queues Deployment: Docker, AWS Lambda, serverless Languages: TypeScript, Python

Overview I build desktop applications that bridge gaps between web platforms, internal systems, and business operations. Using Electron.js for cross-platform desktop apps, I create unified interfaces that automate workflows, synchronize data across systems, and replace manual processes - proven with SonTechBot, an enterprise automation platform connecting Trendyol Fast Market, ERP systems, and license management. What I Can Do For You Desktop Application Development Cross-platform apps with Electron.js: One codebase running on Windows, macOS, and Linux with native OS integration Native capabilities: File system access, system tray, notifications, offline storage, and hardware access Auto-update: Seamless update delivery so your users always run the latest version Enterprise Automation E-commerce automation: Connect marketplaces (Trendyol, Hepsiburada, Amazon) with your ERP and inventory systems ERP integration: Real-time bidirectional sync between web platforms and on-premise database systems Order processing automation: Auto-download, validate, and process orders from multiple channels into a single dashboard Business Process Tools Unified dashboards: Single interface to monitor orders, inventory, financial summaries, and operational metrics License management: Software license tracking, activation, and renewal systems Reporting tools: Automated report generation and distribution Architecture Marketplace APIs to Desktop App to ERP System (MSSQL) to Company Website and License Management ...

Overview I design, build, and manage cloud infrastructure on AWS - from single-page applications to systems serving 500K+ concurrent users. I focus on cost-effective architectures that scale with your business, not expensive over-provisioned setups. Every deployment includes monitoring, alerting, and disaster recovery planning. I built TOFY Go!’s entire AWS infrastructure from scratch: ECS with auto-scaling, Lambda for AI inference, SQS for async processing, CloudFront CDN, and comprehensive CloudWatch monitoring - all within budget constraints. ...

Overview I build custom platforms and SaaS products - end-to-end systems with user management, real-time data processing, and automated reporting. From multi-tenant restaurant menu systems (QR Menu SaaS) to automated investment analysis platforms (Musli) with cron-based data collection and daily reporting, I take your idea from concept to deployed product. What I Can Do For You Full-Stack SaaS Products Multi-tenant architecture: Database-per-tenant or shared schemas with row-level isolation Authentication and authorization: JWT, OAuth 2.0, role-based access control (RBAC), session management Subscription management: Stripe/Paddle integration, plan tiers, usage tracking, invoicing Admin dashboards: Tenant management, usage analytics, billing overview, user administration Custom Platforms Data platforms: Automated data collection, processing, analysis, and reporting pipelines API-first design: RESTful or GraphQL APIs designed for consumption by multiple clients (web, mobile, third-party) Static publishing: Generate and deploy static site versions of dynamic data - ideal for customer-facing content from admin interfaces Automated Systems Scheduled data pipelines: Cron-based or event-driven data collection, processing, and report generation Investment/financial tools: Automated portfolio analysis, risk metrics (Sharpe, Sortino, MaxDD), technical indicators (RSI, MACD, Bollinger) Notification systems: Email, Telegram, or messaging platform delivery for reports and alerts How I Build Architecture and stack selection: Monolith first, microservices when necessary Rapid prototyping: Get a working product in your hands fast Production hardening: CI/CD, monitoring, backups, disaster recovery Iterate: Continuous delivery of features based on real usage Technologies Backend: Go (sqlx), TypeScript (NestJS, Express), Python Frontend: React Native (Expo - iOS, Android, Web), React/Next.js Databases: PostgreSQL, MSSQL, SQLite, DynamoDB Infrastructure: AWS, Docker, CI/CD Automation: Cron-based pipelines, schedulers, event-driven triggers Payments: Stripe, Paddle

Overview I set up and maintain on-premise infrastructure for organizations that need full control over their data, cannot move to the cloud due to regulatory requirements, or want predictable hosting costs. From bare-metal Linux servers to Docker Swarm clusters running local AI models, I handle the full stack - with monitoring, backup, and disaster recovery built in. What I Can Do For You Server Setup and Administration Linux server provisioning: Ubuntu, Debian, Rocky Linux - secure baseline, firewall, fail2ban, auditing Docker orchestration: Compose for small deployments, Docker Swarm or Nomad for clusters Reverse proxy: Nginx, Caddy, or Traefik - TLS termination, virtual hosting, rate limiting Backup and disaster recovery: Automated off-site backups, snapshot rotation, restore drills Local AI Deployment LM Studio / Ollama: Deploy open-source LLMs (Llama, Mistral, Qwen) on local hardware GPU acceleration: NVIDIA CUDA setup, container runtime configuration, model quantization API gateways: Expose local models via OpenAI-compatible APIs for your applications to consume Air-gapped environments: Fully offline AI deployment with no external dependencies Infrastructure Management Monitoring: Prometheus + Grafana stack, uptime monitoring, alerting Logging: Centralized logging with Loki or ELK stack VPN: WireGuard or Tailscale for secure remote access CI/CD self-hosted: GitLab Runner or Jenkins on your own hardware Why On-Premise? Data sovereignty: Sensitive data never leaves your network Predictable costs: Fixed hardware costs - no cloud egress surprises Latency: Sub-millisecond access for local AI inference Compliance: Meet GDPR, HIPAA, SOC 2 requirements without cloud dependency Technologies OS: Linux (Ubuntu, Debian, Rocky Linux, Arch) Containers: Docker, Docker Compose, Docker Swarm AI: LM Studio, Ollama, local LLMs Web: Nginx, Caddy, Traefik Monitoring: Prometheus, Grafana, Uptime Kuma Networking: WireGuard, Tailscale, iptables, nftables Backup: Borg, Restic, rsync