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Technical Portfolio

A curated collection of production-grade systems, AI experiments, and developer tools born from the homelab.

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FlexDeck

Real-time K8s cluster monitoring, GitLab CI/CD visualization with particle effects, and AI model management. Built with SolidJS for fine-grained reactivity and Go backend.

GoSolidJSKubernetesD3.js
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News Analyzer

Automated ETL pipeline that scrapes local news, extracts content, and generates AI summaries using local LLMs. Features vector search and multi-channel notifications.

PythonPlaywrightLLMK8s
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Homelab Stack

Explore the full hardware and software stack powering this platform. Interactive visualization of the AMD 7900XTX, K3s cluster, and GitOps delivery pipeline.

ReactFramer MotionInfraHardware
AI Agents

MentatLab

Design, launch, and monitor intelligent agents with precision. A full-stack platform for building and orchestrating AI workflows with visual flow editors.

TypeScriptReactFastAPILLM
Radeon GPU

FlexInfer

Smart inference routing for Kubernetes clusters. Automatically routes LLM requests to optimal backends based on model availability, load, and latency.

GoKubernetesLLMgRPC
Side Projects

StreamSlate

PDF annotation and streaming tool designed for content creators. Annotate documents privately, then stream your annotations live with a clean presenter view.

TypeScriptElectronReactPDF
Dev Tools

GitOps Homelab

Complete infrastructure-as-code for managing my K3s and Harvester clusters. Includes FluxCD deployments, monitoring stack (Prometheus / Grafana), and CI/CD.

KubernetesFluxCDShellHelm
Radeon GPU

AI Containers

Collection of optimized Docker images for running AI/ML workloads including vLLM, TGI, and other inference servers. ROCm support included.

DockerKubernetesvLLMROCm
AI Agents

Atomic Agents

Python framework for building AI agents with atomic, reusable components. Features tool calling, structured outputs, and integration with multiple LLM providers.

PythonLLMPydanticFastAPI

Lab Experiments in Progress

I'm constantly building new tools to optimize my workflow and learn new stacks. Check GitHub for the latest commits.

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