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Rahul Sunil

Architect & Technical Lead, Olympus AI Agent Platform · Certa

I design the infrastructure that AI agents run on — retrieval, runtime, evals, and the cost and latency envelope around them.

10–12h to under 10m
Manual Review Displaced
7 Pkgs · 2 Migrated
Olympus Consolidation
10.6×
Bedrock Speedup (Modelled)
~60%
Contracts Inference Cost Reduction
62% → 97%
Patent Architecture Rebuild
1 Filed Patent
Patent, US and India (Sole Inventor)

Recent Highlights

🏛️

Olympus AI Agent Platform

Shared AI agent platform replacing three duplicated stacks across Risk, Contracts, and Data agents with multi-tenant document isolation and unified SDK.

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📜

Contracts Agent Productionized

Took backend from n8n canvas into production Python microservice deployed into the first enterprise client's live legal and contracting workflow; cut LLM inference cost by roughly 60%.

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🏆

Patent & Genius Award

Sole inventor on patent filed in the US and India for Workflow Context Extractor. Rebuilt from 62% to 97% accuracy. Co-winner of company-wide Certa-fied Genius Award.

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Bedrock Migration: 10.6× Speedup

Throughput-modelled 100-concurrent-call evaluation pipeline: heavy control sets from 12 hours to 68 minutes (10.6×) and tenant scaling from 1 to 5–6.

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Featured Systems

Olympus — AI Agent Platform

Certa

Shared AI agent platform that consolidated duplicated stacks across Risk, Contracts, and Data agents with multi-tenant document isolation.

PythonFastAPIuv monorepoQdrant

Contracts Agent

Certa

Production Python microservice for enterprise contract risk analysis, obligations, and SLA extraction. Deployed into the first enterprise client's live legal and contracting workflow.

FastAPICelerySQSMongoDB

Risk Agent

Certa

Agentic compliance engine evaluating SOC 2, ISO, PCI DSS, HIPAA, and pentests across 21 risk domains (~8,400 calls, 210M tokens). Collapses 10–12 hours of manual analyst review to under 10 minutes.

Agentic RAGAWS BedrockLlamaParseQdrant