Undergraduate student · Agent systems · JVM-first developer

I'm interested in long-running AI agents, runtime architecture, memory/context systems, and developer tools that connect models with real environments.

Most of my recent work is around building agent runtimes and the local infrastructure needed to make them usable: context assembly, memory recall, action execution, tool calling, MCP integration, local command agents, notifications, and workflow automation.

• Partner

  • long-context interaction and memory organization
  • action chain scheduling, execution, and correction
  • modular JVM/Kotlin agent runtime design

• AgenticGPT

  • Rust Hub + local agent for remote command execution
  • MCP / Custom GPT Actions integration
  • notebook handoff, notification channels, and local workflow tooling

• Developer tooling experiments

  • AI-assisted coding workflows
  • browser / job-search automation
  • self-hosted services and Linux-first daily development

• Languages

  • Primary: Java, Kotlin
  • Also using: Rust, Python, TypeScript

• Agent & LLM tooling: MCP, tool calling, OpenAI-compatible APIs, workflow automation

• Environment: Linux, Docker, Git, self-hosted services

• slhaf-laptop: Arch Linux · DELL G15 5520 · main development machine
• slhaf-tablet: Arch Linux · ThinkPad X1 Tablet Gen 3 · remote development and lightweight work
• slhaf-server: Ubuntu · OrangePi 3B · self-hosted services and public IPv6 access
• slhaf-mobile: Redmi Note 12 Turbo · daily Android device
• slhaf-node: Evoxt VPS · AgenticGPT Hub deployment and remote networking