temp

src/app.py

@@ -22,7 +22,7 @@ static_file_hashes = {}
 for dirpath, _, filenames in os.walk(app.static_folder):
     for filename in filenames:
         filepath = os.path.join(dirpath, filename)
-        relative = os.path.relpath(filepath, app.static_folder)
+        relative = os.path.relpath(filepath, app.static_folder).replace(os.sep, '/')
         with open(filepath, 'rb') as f:
             static_file_hashes[relative] = hashlib.md5(f.read()).hexdigest()[:8]
 

src/static/css/App.css

@@ -1947,6 +1947,194 @@ tr {
   margin-top: 1.5em;
 }
 
+/* Deep-dive project panels (collapsed by default) */
+.feature-projects {
+  display: flex;
+  flex-direction: column;
+  gap: 2em;
+  margin-bottom: 3.5em;
+}
+
+.feature-project {
+  position: relative;
+  padding: 0;
+  overflow: hidden;
+  border-top: none;
+  border-radius: 0.75em;
+  box-shadow: 0 10px 30px rgba(0, 0, 0, 0.35);
+}
+
+.feature-project::before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  height: 4px;
+  background: linear-gradient(90deg, var(--accent) 0%, rgba(var(--accent-rgb), 0.85) 40%, rgba(var(--accent-rgb), 0.15) 100%);
+  z-index: 2;
+}
+
+.feature-project-content {
+  position: relative;
+  z-index: 1;
+}
+
+.feature-project-media {
+  position: absolute;
+  top: 0;
+  bottom: 0;
+  right: 0;
+  width: 620px;
+  background-size: cover;
+  background-position: right bottom;
+  z-index: 0;
+}
+
+@media screen and (max-width: 1100px) {
+  .feature-project-media {
+    display: none;
+  }
+}
+
+.feature-project-media::after {
+  content: '';
+  position: absolute;
+  inset: 0;
+  background: linear-gradient(
+    to right,
+    rgba(var(--bg-card-rgb), 1) 0%,
+    rgba(var(--bg-card-rgb), 1) 50%,
+    rgba(var(--bg-card-rgb), 0.75) 62%,
+    rgba(var(--bg-card-rgb), 0.15) 82%,
+    rgba(var(--bg-card-rgb), 0) 96%
+  );
+}
+
+.feature-project-header {
+  position: relative;
+  overflow: hidden;
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  gap: 1.5em;
+  padding: 1.75em 2em;
+  cursor: pointer;
+  transition: background 0.2s ease;
+}
+
+.feature-project-heading {
+  position: relative;
+  z-index: 1;
+  max-width: 46em;
+}
+
+.feature-project-header:hover {
+  background: rgba(var(--accent-rgb), 0.06);
+}
+
+.feature-project-header h3 {
+  margin: 0 0 0.35em 0;
+  color: var(--text-heading);
+  font-size: 1.55rem;
+}
+
+.feature-project-tagline {
+  margin: 0;
+  color: var(--text-secondary);
+  font-size: 1rem;
+}
+
+.feature-project-toggle {
+  position: relative;
+  z-index: 1;
+  flex-shrink: 0;
+  width: 2.4em;
+  height: 2.4em;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  border: 1px solid rgba(var(--accent-rgb), 0.4);
+  border-radius: 50%;
+  background: rgba(var(--bg-card-rgb), 0.85);
+  color: var(--text-heading);
+  font-size: 1.4rem;
+  line-height: 1;
+  box-shadow: 0 2px 8px rgba(0, 0, 0, 0.3);
+  transition: transform 0.3s ease, border-color 0.2s ease, background 0.2s ease;
+}
+
+.feature-project.expanded .feature-project-toggle {
+  transform: rotate(45deg);
+  border-color: var(--accent);
+  background: rgba(var(--accent-rgb), 0.18);
+}
+
+.feature-project-body {
+  display: grid;
+  grid-template-rows: 0fr;
+  transition: grid-template-rows 0.3s ease;
+}
+
+.feature-project.expanded .feature-project-body {
+  grid-template-rows: 1fr;
+}
+
+.feature-project-body-inner {
+  overflow: hidden;
+}
+
+.feature-project-prose {
+  max-width: 46em;
+  padding: 1.5em 2em 1.75em;
+  border-top: 1px solid var(--border-subtle);
+  font-size: 1.05rem;
+  line-height: 1.75;
+}
+
+.feature-project-prose p + p {
+  margin-top: 1em;
+}
+
+.feature-project-prose code {
+  background: rgba(var(--accent-rgb), 0.12);
+  padding: 0.1em 0.4em;
+  border-radius: 0.25em;
+  font-size: 0.9em;
+}
+
+.feature-project-stack {
+  display: flex;
+  flex-wrap: wrap;
+  gap: 0.6em;
+  padding: 0 2em 2em;
+}
+
+.feature-project-stack-item {
+  padding: 0.35em 0.9em;
+  border: 1px solid rgba(var(--accent-rgb), 0.35);
+  border-radius: 2em;
+  background: rgba(var(--accent-rgb), 0.07);
+  color: var(--text-secondary);
+  font-family: 'Courier New', Courier, monospace;
+  font-size: 0.8rem;
+  letter-spacing: 0.03em;
+}
+
+@media screen and (max-width: 900px) {
+  .feature-project-header {
+    padding: 1.5em;
+  }
+
+  .feature-project-prose {
+    padding: 1.25em 1.5em 1.5em;
+  }
+
+  .feature-project-stack {
+    padding: 0 1.5em 1.5em;
+  }
+}
+
 .skills-certs-grid {
   display: grid;
   grid-template-columns: 1fr 1fr;

src/static/js/responsive.js

@@ -98,6 +98,12 @@ function backButton() {
   goto(path.substring(1), { push: false });
 }
 
+function toggleFeatureProject(header) {
+  const panel = header.closest(".feature-project");
+  const expanded = panel.classList.toggle("expanded");
+  header.setAttribute("aria-expanded", expanded ? "true" : "false");
+}
+
 function activeSkill(obj) {
   let skill = obj.closest(".skill");
   if (skill.classList.contains("activeSkill")) {

src/templates/partials/feature_project.html

@@ -0,0 +1,30 @@
+{% macro feature_project(id, title, tagline, body, stack, image=none) %}
+<div class="feature-project boxed{{ ' has-media' if image else '' }}" id="feature-{{ id }}">
+  <div class="feature-project-content">
+    <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">
+      {% if image %}
+      <div class="feature-project-media" style="background-image: url('{{ url_for('static', filename=image) }}')"></div>
+      {% endif %}
+      <div class="feature-project-heading">
+        <h3>{{ title }}</h3>
+        <p class="feature-project-tagline">{{ tagline }}</p>
+      </div>
+      <span class="feature-project-toggle" aria-hidden="true">+</span>
+    </div>
+    <div class="feature-project-body" id="feature-{{ id }}-body">
+      <div class="feature-project-body-inner">
+        <div class="feature-project-prose">
+          {{ body | safe }}
+        </div>
+        {% if stack %}
+        <div class="feature-project-stack">
+          {% for item in stack %}
+          <span class="feature-project-stack-item">{{ item }}</span>
+          {% endfor %}
+        </div>
+        {% endif %}
+      </div>
+    </div>
+  </div>
+</div>
+{% endmacro %}

src/templates/projects.html

@@ -10,18 +10,30 @@
   <div class="homeSubContent">
     <div class="foregroundContent">
 
-      <!-- Intro -->
-      <div style="max-width: 52em; margin-bottom: 3em;">
-          <p style="color: var(--text-secondary); font-size: 0.9rem;">
-              Curious who's behind these?
-              <a href="about">About &amp; certifications</a>
-              ·
-              <a href="Resume_Simonson_Andrew.pdf" target="_blank">Resume</a>
-          </p>
+      <!-- Deep Dives -->
+      <h2>Highlights</h2>
+      <div class="feature-projects">
+          {% from 'partials/feature_project.html' import feature_project %}
+          {{ feature_project(
+              'homelab',
+              'AI Homelab',
+              'Self-hosted GPU cluster serving MoE models beyond their rated VRAM, with a full LoRA fine-tuning pipeline on top',
+              '<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>',
+              ['RTX 5070', 'RX 6600 XT', 'Ollama', 'FreeToken', 'ComfyUI', 'PEFT / TRL'],
+              'photos/deepdives/homelab-dashboard.png'
+          ) }}
+
+          {{ feature_project(
+              'siteinfra',
+              'Self-Hosted Web Tooling & Maintenance',
+              'I designed, deployed, and still actively operate this site\'s stack — the app, the edge, and its own health monitoring',
+              '<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>',
+              ['Flask', 'Docker', 'PostgreSQL', 'Reverse Proxy', 'Cloudflare']
+          ) }}
       </div>
 
       <!-- Projects -->
-      <h2>Projects</h2>
+      <h2>All Projects</h2>
       <div class="projectList">
           {% from 'partials/project.html' import project %} {% for i in
           var["projects"] %} {{ project(i, var["projects"][i]["classes"],