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Dor Luzgarten

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Israel

I've been building mobile apps for years across iOS, Android, and Flutter. Over time I also went deep into backend systems - APIs, databases, distributed systems, and everything needed to make products hold up under real load. At some point I got pulled into AI, and today most of my work is focused on agents and automation. I love building systems that can truly run on their own.

iOSAndroidFlutterAI AgentsPythonNode.js

Experience

Mobile Development

2018 - 2026

I've built mobile apps for iOS, Android, and Flutter - both native and cross-platform. I've worked on consumer apps at meaningful scale, made architecture decisions, and handled release processes for the App Store and Play Store.

  • iOS development in Swift with UIKit and SwiftUI
  • Android development in Kotlin with Jetpack
  • Cross-platform development with Flutter and Dart
  • CI/CD with Fastlane, GitHub Actions, and Bitrise
iOS (Swift)Android (Kotlin)FlutterDart

Backend Development

2020 - 2026

Built and maintained backend services for mobile apps - REST and GraphQL APIs, database work, and third-party integrations. Experience spans both serverless functions and container-based services.

  • Design and implementation of REST and GraphQL APIs
  • Work with PostgreSQL, Firebase, and Supabase
  • Node.js (NestJS), Python (FastAPI), Go (Gin)
  • Docker, AWS Lambda, and GCP Cloud Run
Node.jsPythonGoREST APIsPostgreSQLFirebase
Current Focus

AI Agents

2024 -> Today

At a certain point, building regular apps started to feel too predictable. Agents are something else - they think, use tools, and make decisions. With my mobile background, I'm focused on building agents that live inside real applications, not just dev environments or terminals.

  • Orchestrating multi-agent systems with LangGraph
  • Building RAG pipelines and vector stores
  • Tool use and function calling with OpenAI and Anthropic
  • Autonomous agents for research, code, and information retrieval
  • GenUI in Flutter - interfaces built dynamically from model output
  • Apple Foundation Models - on-device models without needing a server
LangChainLangGraphOpenAIAnthropicPythonFlutterFoundation Models
Building Now

OpenClaw

2026

My personal agent system running on a private VPS. I built the whole stack end-to-end because full control over infrastructure, data, and permissions mattered to me. The system is protected with VPN and firewall layers and connected to the channels I use every day.

  • Private VPS - full control over the server and compute
  • Secured with VPN and firewall - not directly exposed to the internet
  • WhatsApp and Telegram - interacting with agents like a normal chat
  • Slack for internal automations and triggers
  • Gmail - reading, drafting, and sending email through agents
  • Whisper for voice input - speak instead of typing
  • Live search and browsing - agents that go check information themselves
  • Scheduled runs (Cron) - processes that keep running on their own
  • Monitoring dashboard - visibility into what is running and failing
  • Multi-model routing across OpenAI, Anthropic, and local models
VPSVPNFirewallWhatsAppTelegramSlackGmailWhisperWeb BrowsingCronMulti-modelPython

Second Brain

2026

Everything I read, build, or think about flows into one system. Obsidian is the knowledge base, Claude Code is connected to it, and OpenClaw agents feed it automatically. It is no longer a notes app - it is a system that works for me and keeps things without me having to remember them.

  • Agents that push information into Obsidian from chats, email, and browsing automatically
  • Claude Code connected to the vault and reading context while I work
  • Smart search across the whole knowledge base, not just keywords
  • Sync between OpenClaw and Obsidian - agents know what I know
  • Automatic summaries and note connections that surface new insights
ObsidianClaude CodeOpenClawRAGAutomation