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<main>
<!-- HERO -->
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<p class="hero-eyebrow">AI & Platform Engineering</p>
<h1>AI that<br><em>actually ships.</em></h1>
<p class="hero-sub">
Innovate Loop works with companies that need senior AI and platform engineering —
teams who want something built right the first time.
</p>
<div class="hero-ctas">
<a href="#work" class="btn btn-ghost">See our work</a>
<a href="mailto:roshan@innovateloop.com" class="btn">
Get in touch
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<h2>From prototype to <em>production.</em></h2>
<p class="services-intro">We work across the full stack of modern AI engineering — from retrieval pipeline design to hardened Kubernetes infrastructure.</p>
<div class="services-table" role="list">
<div class="service-row" role="listitem">
<div class="service-num" aria-hidden="true">01</div>
<h3 class="service-title">RAG & LLM Infrastructure</h3>
<div class="service-body">
<p class="service-desc">Production retrieval-augmented generation systems — vector search, multi-signal reranking, Model Context Protocol tooling, agentic infrastructure, and the observability layers that make LLM outputs reliable at enterprise scale.</p>
<ul class="tech-tags" aria-label="Technologies">
<li class="tech-tag">OpenAI</li>
<li class="tech-tag">Anthropic Claude</li>
<li class="tech-tag">RAG</li>
<li class="tech-tag">Embeddings</li>
<li class="tech-tag">MCP</li>
</ul>
</div>
</div>
<div class="service-row" role="listitem">
<div class="service-num" aria-hidden="true">02</div>
<h3 class="service-title">Data Platform Engineering</h3>
<div class="service-body">
<p class="service-desc">End-to-end data infrastructure for production workloads — ETL platform design, cloud data modernization, real-time pipelines, and high-throughput processing systems built around strict SLAs.</p>
<ul class="tech-tags" aria-label="Technologies">
<li class="tech-tag">MongoDB</li>
<li class="tech-tag">Snowflake</li>
<li class="tech-tag">PostgreSQL</li>
<li class="tech-tag">ETL</li>
<li class="tech-tag">Python</li>
</ul>
</div>
</div>
<div class="service-row" role="listitem">
<div class="service-num" aria-hidden="true">03</div>
<h3 class="service-title">Cloud & Kubernetes Architecture</h3>
<div class="service-body">
<p class="service-desc">Production-grade cloud infrastructure with a Kubernetes-first approach — multi-cloud deployments across Google Cloud Platform, Amazon Web Services, and Azure, CI/CD pipeline design, rolling deployments, and infrastructure built for reliability at scale.</p>
<ul class="tech-tags" aria-label="Technologies">
<li class="tech-tag">Kubernetes</li>
<li class="tech-tag">GCP</li>
<li class="tech-tag">AWS</li>
<li class="tech-tag">Azure</li>
<li class="tech-tag">Terraform</li>
<li class="tech-tag">Helm</li>
</ul>
</div>
</div>
</div>
</div>
</section>
<!-- WORK -->
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</picture>
</div>
<div class="about-body">
<h2>Built by an engineer,<br>for engineers.</h2>
<p class="about-p">Innovate Loop is led by <a href="https://roshanravi.com" target="_blank" rel="noopener noreferrer" class="inline-link inline-link--amber">Roshan Ravi</a> — a Cornell Tech M.Eng. graduate, Kubestronaut, and AI engineer who has shipped production systems for Fortune 500 firms and YC-backed startups alike.</p>
<p class="about-p">We work best with teams that want senior-level AI and platform engineering without agency overhead — work that's owned end-to-end and ships.</p>
</div>
</div>
<dl class="stats-strip">
<div class="stat-item">
<dd class="stat-num">7+</dd>
<dt class="stat-label">Years building production AI systems</dt>
</div>
<div class="stat-item">
<dd class="stat-num">3.5TB+</dd>
<dt class="stat-label">Data processed by platforms we've designed</dt>
</div>
<div class="stat-item">
<dd class="stat-num">$5M+</dd>
<dt class="stat-label">Projected savings on a single engagement</dt>
</div>
<div class="stat-item">
<dd class="stat-num">300k+</dd>
<dt class="stat-label">Enterprise cases analyzed with AI</dt>
</div>
</dl>
</div>
</section>
<section id="work" aria-label="Selected work">
<div class="container">
<h2>Selected work.</h2>
<div style="margin-top: 72px;">
<article class="work-item">
<div>
<h3 class="work-client">Charles River Development / State Street</h3>
<p class="work-role">AI Platform Engineer</p>
<ul class="work-badges" aria-label="Industry">
<li class="work-badge">AI</li>
<li class="work-badge">Fintech</li>
</ul>
</div>
<div>
<p class="work-desc">Built embedding pipelines on Azure OpenAI for support ticket classification across 300,000+ enterprise support cases at ~40k monthly volume — applying NLP, embeddings, and unsupervised clustering to surface recurring failure patterns and enable faster incident triage. LLM-powered RCA summaries gave support teams actionable visibility into alert noise and ticket clustering trends.</p>
<div class="work-stat">
<strong>300k+</strong>
<span>enterprise cases analyzed</span>
</div>
</div>
</article>
<article class="work-item">
<div>
<h3 class="work-client">Blue Shield of California</h3>
<p class="work-role">Data Platform Lead</p>
<ul class="work-badges" aria-label="Industry">
<li class="work-badge">Data</li>
<li class="work-badge">Health</li>
</ul>
</div>
<div>
<p class="work-desc">Architected and led delivery of an ETL data platform processing 3.5TB+ of HL7 C-CDA EHR data daily — modernizing legacy Netezza infrastructure to MongoDB and Snowflake. Designed Python pipelines ingesting 4M historical and 300K daily records within a 4-hour SLA, enabling analysts to access fresh member data before business open.</p>
<div class="work-stat">
<strong>$5M+</strong>
<span>projected annual savings</span>
</div>
</div>
</article>
<article class="work-item">
<div>
<h3 class="work-client">Ardent AI</h3>
<p class="work-role">AI Systems Engineer</p>
<ul class="work-badges" aria-label="Industry">
<li class="work-badge">RAG</li>
<li class="work-badge">Startup</li>
</ul>
</div>
<div>
<p class="work-desc">Built the core retrieval-augmented generation infrastructure for Ardent's AI Data Engineer platform — engineering a hybrid vector search pipeline combining dense embeddings and BM25 with multi-signal reranking for accurate contextual retrieval across enterprise data stacks. Ardent has since entered Y Combinator's X26 batch.</p>
<div class="work-stat">
<strong>YC X26</strong>
<span>Y Combinator batch</span>
</div>
</div>
</article>
<article class="work-item">
<div>
<h3 class="work-client">SequelAPI</h3>
<p class="work-role">Founder & Engineer</p>
<ul class="work-badges" aria-label="Industry">
<li class="work-badge">AI</li>
<li class="work-badge">Product</li>
</ul>
</div>
<div>
<p class="work-desc">Built an AI-powered data API development platform featuring a natural language to SQL assistant grounded on underlying schema via Azure OpenAI and RAG — with multi-database support across Snowflake, PostgreSQL, and SQL Server, and AKS-based scaling via Helm and Linkerd.</p>
</div>
</article>
</div>
</div>
</section>
<!-- CONTACT -->
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<p class="contact-eyebrow">Let's work together</p>
<h2>Let's talk about what<br>you're <em>building.</em></h2>
<p class="contact-sub">Most of our work comes through referrals. If someone sent you here, we'd love to hear from you.</p>
<address>
<a href="mailto:roshan@innovateloop.com" class="btn">
Get in touch
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