Integration & launch workflows
Work across Windows launchers, Docker Compose services, startup sequencing, configuration, and local service endpoints.
AI Applications · Local AI Integration · Systems Automation
I bring software, AI services, and infrastructure together into practical tools. My work spans local-first AI platform integration, scripting, web interfaces, deployment workflows, troubleshooting, and release verification.
A simplified conceptual view of the project’s connected layers.
LocalAI-Angel brings an approachable Angel AI experience together with LocalAI for model inference and Angel Nexus as a modular tools-and-integration layer. The engineering challenge is making the parts launch, communicate, retain data, and remain diagnosable as one usable system.
Work across Windows launchers, Docker Compose services, startup sequencing, configuration, and local service endpoints.
Account for persistent application data, conversation storage, backups, and safe restarts without casually deleting user data.
Use health endpoints, integration checks, Git branches, pull requests, CI troubleshooting, and release validation to make changes safer.
The repository is the source of truth for current features. Some platform capabilities are evolving, experimental, or dependent on local hardware and configuration.
LocalAI, Ollama, LLM integration, AI assistants, prompt design, model configuration, tool integration, and workflow orchestration.
Python, PowerShell, Bash, Windows batch, scripting, debugging, diagnostics, and automation.
HTML5, CSS3, JavaScript, React exposure, responsive interfaces, dashboards, and API-connected web applications.
Docker, Docker Compose, multi-service applications, environment configuration, port mapping, service startup, and health checks.
Git branching, merges, pull requests, GitHub Actions, CI troubleshooting, release preparation, and repository documentation.
Windows 10/11, Ubuntu/Linux, PowerShell administration, services, logs, software setup, and system troubleshooting.
Local development environments, containerized services, Railway deployment experience, API endpoints, and network configuration fundamentals.
SQLite/PostgreSQL exposure, persistent storage, chat history, backups, retrieval concepts, context management, and RAG fundamentals.
Integration and regression checks, health endpoints, SHA-256 integrity verification, error handling, safe configuration, and release checks.
Skills are described according to project and workflow experience; depth varies by tool. This page does not imply expert-level proficiency in every listed technology.
Unified AI experience connecting an assistant interface, model inference, modular integrations, launch scripts, and service verification.
Explore repository ↗A focused Windows utility project centered on safer device removal and practical system tooling.
Explore repository ↗PowerShell-based virtual machine backup and scheduling automation focused on repeatable operations.
Explore repository ↗Assistant harness work involving local-first workflows, application storage, and integration with the wider platform.
Explore repository ↗Interested in AI application integration, automation, developer tooling, or practical systems projects? Explore my work and reach out through GitHub.