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30
src/templates/partials/feature_project.html
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30
src/templates/partials/feature_project.html
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@@ -0,0 +1,30 @@
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{% macro feature_project(id, title, tagline, body, stack, image=none) %}
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<div class="feature-project boxed{{ ' has-media' if image else '' }}" id="feature-{{ id }}">
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<div class="feature-project-content">
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<div class="feature-project-header" onclick="toggleFeatureProject(this)" onKeyDown="if(event.key==='Enter'||event.key===' ')toggleFeatureProject(this)" role="button" tabindex="0" aria-expanded="false" aria-controls="feature-{{ id }}-body">
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{% if image %}
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<div class="feature-project-media" style="background-image: url('{{ url_for('static', filename=image) }}')"></div>
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{% endif %}
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<div class="feature-project-heading">
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<h3>{{ title }}</h3>
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<p class="feature-project-tagline">{{ tagline }}</p>
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</div>
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<span class="feature-project-toggle" aria-hidden="true">+</span>
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</div>
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<div class="feature-project-body" id="feature-{{ id }}-body">
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<div class="feature-project-body-inner">
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<div class="feature-project-prose">
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{{ body | safe }}
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</div>
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{% if stack %}
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<div class="feature-project-stack">
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{% for item in stack %}
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<span class="feature-project-stack-item">{{ item }}</span>
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{% endfor %}
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</div>
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{% endif %}
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</div>
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</div>
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</div>
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</div>
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{% endmacro %}
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@@ -10,18 +10,30 @@
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<div class="homeSubContent">
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<div class="foregroundContent">
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<!-- Intro -->
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<div style="max-width: 52em; margin-bottom: 3em;">
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<p style="color: var(--text-secondary); font-size: 0.9rem;">
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Curious who's behind these?
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<a href="about">About & certifications</a>
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·
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<a href="Resume_Simonson_Andrew.pdf" target="_blank">Resume</a>
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</p>
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<!-- Deep Dives -->
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<h2>Highlights</h2>
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<div class="feature-projects">
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{% from 'partials/feature_project.html' import feature_project %}
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{{ feature_project(
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'homelab',
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'AI Homelab',
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'Self-hosted GPU cluster serving MoE models beyond their rated VRAM, with a full LoRA fine-tuning pipeline on top',
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'<p>I\'ve refined a method to pool GPUs from different vendors and generations — an RTX 5070 and a Radeon RX 6600 XT — into a single ~20GB inference backend over Vulkan, so neither card\'s limits bottleneck the other. FreeToken, a bleeding-edge MoE inference server, fronts the cluster and handles the actual elastic inference, running Mixture-of-Experts models with far more total parameters than the cluster\'s VRAM would normally allow. My custom scripts resolve KV caching and system prompt compaction that make the setup harness-capable, so agentic tools like Claude Code can hit it over Anthropic- and OpenAI-compatible endpoints exactly like they would a paid API. GPU layer placement alone took generation from ~150s a call to ~88ms/token.</p><p>The same rig trains as well as it serves. I built a complete LoRA fine-tuning pipeline on it — base model, training config, and adapter. Used for fine-tuning Qwen3-1.7B on patent data, and training a Stable Diffusion LoRA set on curated, deduplicated image data.</p>',
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['RTX 5070', 'RX 6600 XT', 'Ollama', 'FreeToken', 'ComfyUI', 'PEFT / TRL'],
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'photos/deepdives/homelab-dashboard.png'
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) }}
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{{ feature_project(
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'siteinfra',
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'Self-Hosted Web Tooling & Maintenance',
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'I designed, deployed, and still actively operate this site\'s stack — the app, the edge, and its own health monitoring',
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'<p>This portfolio runs on infrastructure I designed, deployed, and still operate myself — the Flask app and its container, the Cloudflare edge and reverse proxy in front of it, DNS and tunneling, and the uptime monitor watching all of it (live at <a href="status">/status</a>). None of that is a managed host\'s job here; it\'s mine.</p><p>What actually proves it\'s production-capable is the maintenance loop, not the launch. I put it through a real adversarial review periodically — most recently a live pass with Claude Code against both the deployed site and the source — and fix what it finds. The latest pass closed two real issues same-day: a database-query pattern on an internal endpoint that could be hammered into needless load, and a self-built redirect that could momentarily hand a browser plaintext HTTP instead of HTTPS. Nothing catastrophic came up — no injection, no auth bypass, no data exposure — which is exactly the point of doing this on a schedule instead of waiting for something to break.</p>',
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['Flask', 'Docker', 'PostgreSQL', 'Reverse Proxy', 'Cloudflare']
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) }}
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</div>
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<!-- Projects -->
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<h2>Projects</h2>
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<h2>All Projects</h2>
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<div class="projectList">
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{% from 'partials/project.html' import project %} {% for i in
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var["projects"] %} {{ project(i, var["projects"][i]["classes"],
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