AI & Platform Engineering

AI that
actually ships.

Innovate Loop works with companies that need senior AI and platform engineering — teams who want something built right the first time.

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From prototype to production.

We work across the full stack of modern AI engineering — from retrieval pipeline design to hardened Kubernetes infrastructure.

RAG & LLM Infrastructure

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.

  • OpenAI
  • Anthropic Claude
  • RAG
  • Embeddings
  • MCP

Data Platform Engineering

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.

  • MongoDB
  • Snowflake
  • PostgreSQL
  • ETL
  • Python

Cloud & Kubernetes Architecture

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.

  • Kubernetes
  • GCP
  • AWS
  • Azure
  • Terraform
  • Helm
Roshan Ravi, AI Platform Engineer and founder of Innovate Loop

Built by an engineer,
for engineers.

Innovate Loop is led by Roshan Ravi — a Cornell Tech M.Eng. graduate, Kubestronaut, and AI engineer who has shipped production systems for Fortune 500 firms and YC-backed startups alike.

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.

7+
Years building production AI systems
3.5TB+
Data processed by platforms we've designed
$5M+
Projected savings on a single engagement
300k+
Enterprise cases analyzed with AI

Selected work.

Charles River Development / State Street

AI Platform Engineer

  • AI
  • Fintech

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.

300k+ enterprise cases analyzed

Blue Shield of California

Data Platform Lead

  • Data
  • Health

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.

$5M+ projected annual savings

Ardent AI

AI Systems Engineer

  • RAG
  • Startup

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.

YC X26 Y Combinator batch

SequelAPI

Founder & Engineer

  • AI
  • Product

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.

Let's work together

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you're building.

Most of our work comes through referrals. If someone sent you here, we'd love to hear from you.

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