Unnati Shah — AI Engineer

~/unnati$ai engineer @ johnson & johnson

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I build the orchestration, retrieval, and evaluation layers behind production LLM systems.

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Architecting multi-agent systems at Johnson & Johnson. Before that, Text-to-SQL at C3.ai and machine learning research at USC, published in the Strategic Management Journal.

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name
Unnati Shah
role
AI Engineer · Johnson & Johnson
based in
New York City
studied
M.S. CS · USC
01 // Work experience

Systems in production

Case studies from Johnson & Johnson and C3.ai. Each opens into its architecture, decisions, and outcomes.

System map · J&J

Three production systems, one request path. Point at a node to trace it.

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CYCLIC GRAPH query50K+/day routerLangGraph agentsA2A toolsMCP retrievalNeo4j · Qdrant evaluationOpenTelemetry
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02 // Projects

Open source

All 30 repositories on GitHub ↗

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03 // Experience

Where I’ve built

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Education · 2022–2024 M.S. Computer Science, University of Southern California Graduate Research Assistant: ML analysis of large-scale App Store and developer data for platform acquisitions research. Graduate Teaching Assistant: BUAD 310g Applied Business Statistics.
04 // Certifications

Licenses & certifications

View on LinkedIn ↗
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05 // Research

Publications

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71M+ user reviews100+ semantic keywords per category 279,000+ developer profilesJaro-Winkler · Levenshtein · 99% 12,000+ SDKsSDK-to-Category sparse matrices studySMJ 2024 SITESDEEP LEARNINGDIFFERENTIAL PRIVACYENCRYPTED COMPUTATIONFEDERATED site 1 site 2 site 3 sharedmodel {{ pub.note }}
06 // Contact

unnatishah.ix@gmail.com

© 2026 Unnati Shah · New York City {{ palHint }}
All work
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Architecture
orchestratorLangGraph intent routing agents · A2A tools · MCP state · cyclic graph

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My contribution
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Technical decisions
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Challenges & trade-offs

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Outcomes
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unnatishah.ix@gmail.com
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