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heidi-dang/README.md

Heidi Dang

AI systems engineer building developer tools, agent runtimes, and production software.

I design and build software at the intersection of intelligent systems and practical developer experience — from multi-agent orchestration and coding tools to native runtimes, APIs, and learning platforms.

What I build

  • AI agents, orchestration systems, and execution runtimes
  • Developer tools for coding workflows and local AI
  • Native systems software in C++
  • Production web applications and APIs
  • Data, model-training, and automation tooling

Selected work

Project Focus
FlowDeck Multi-agent workflow orchestration with safety intelligence
flowdeck-dsh DeepSeek Harness integration, runtime broker, and execution host
opencode-web-ui Web interface for an open-source coding agent
heidi-kernel Native runtime for resource management and autonomous agents
heidi-engine C++ engine for LoRA fine-tuning workflows
pte-app Production learning, practice, scoring, and mock-exam platform

Technical focus

TypeScript · Python · C++ · JavaScript · AI agents · LLM systems · developer tooling · systems programming · APIs · production web applications

Current direction

Building reliable AI-native software: systems that are capable, observable, safe to operate, and genuinely useful in real developer workflows.

Connect

The best place to explore my work is here on GitHub. I’m interested in thoughtful collaboration around AI infrastructure, developer tools, and applied systems engineering.

Pinned Loading

  1. heidi-cli heidi-cli Public

    A local AI command center with model hosting, memory, learning loops, and unified APIs.

    Python

  2. heidi-kernel heidi-kernel Public

    A lightweight C++ runtime for resource management, performance, and autonomous agents.

    C++

  3. heidi-engine heidi-engine Public

    A C++ engine for LoRA fine-tuning and applied machine-learning workflows.

    C++

  4. oh-my-opencode oh-my-opencode Public

    Forked from code-yeongyu/oh-my-openagent

    An agent-harness fork focused on advanced coding workflows and orchestration.

    TypeScript

  5. train_QLoRA train_QLoRA Public

    A one-click continuous QLoRA training workflow with FastAPI, evaluation, and observability.

    Python