AI Lead  ·  IEEE Senior Member  ·  Seattle, WA

Architecting the
Agentic Enterprise

AI architecture across Commerce (BigCommerce, Feedonomics, and Makeswift). Published researcher. 8+ years at Amazon Web Services. Contributor to emerging agentic AI standards.

IEEE Senior Member #93067107
DBLP pid 208/3317
ORCID 0009-0008-9247-9579
M.S. Purdue University
Reviewer WCCI 2026 IJCNN
LinkedIn DBLP Publications ORCID GitHub

Current Role

AI Pillar Lead
Commerce  |  Seattle, WA  |  Dec 2025 – Present
Leading AI strategy and architecture across the Commerce ecosystem (BigCommerce, Makeswift, and Feedonomics). Setting unified technical direction across three product surfaces: designing multi-agent orchestration systems, establishing Model Context Protocol (MCP) as the communication layer for enterprise AI agents, and building governance frameworks that make AI deployable at commerce scale. Previously 8+ years at Amazon Web Services on Amazon Q, Amazon Transform, and developer AI tooling.
Agentic AI Architecture Model Context Protocol (MCP) Multi-Agent Orchestration AI Governance Enterprise LLM Deployment

Research & Publications

Year Title Venue Status
2026 Agentic AI for Clinical Urgency Mapping and Queue Optimization in High-Volume Outpatient Departments: A Simulation-Based Evaluation AICTC 2026 · Springer LNNS Oral Presentation
2026 An Agentic Multi-Model Architecture for Cybersecurity Risk Management AICTC 2026 · Springer LNNS Accepted
2026 Pedagogical AI in Mental Health: A Tri-Stream Fine-Tuned LLM Framework for Automated Clinical Supervision and Risk Triage AICTC 2026 · Springer LNNS Accepted
2019 An Explainable Approach of Inferring Potential Medication Effects from Social Media Data AIME 2019 · Springer LNCS Published
2017 Deep Gramulator: Improving Precision in the Classification of Personal Health-Experience Tweets with Deep Learning IEEE BIBM 2017 Published
2017 Identifying Personal Health Experience Tweets with Deep Neural Networks IEEE EMBC 2017 Published

Recognition & Awards

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IEEE Senior Member

Top ~10% of IEEE's 400,000+ global membership. Requires demonstrated engineering excellence and community impact.

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WCCI 2026 IJCNN Reviewer

Peer reviewer at the World Congress on Computational Intelligence — IEEE's flagship AI and neural networks conference.

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UW Foster MBA Judge

Judge, University of Washington Foster School of Business MBA Case Competition, March 2026.

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AWS Transform GA Launch

Recognized for contributions to the general availability launch of Amazon Transform, a major AWS product.

Open Standards & Open Source

CONTRIBUTOR

AP2 — Agent Payment Protocol (Google / google-agentic-commerce)

PR #165 — B2B agent governance framework for multi-round AI-mediated commerce negotiations. Protocol adopted by 60+ Fortune 500 partners. Apache 2.0.

IMPLEMENTER

Model Context Protocol (MCP) — Anthropic

First-mover enterprise MCP implementation across BigCommerce, Feedonomics, and Makeswift — defining the foundational agent communication layer for production commerce AI.

Beyond Work

RESEARCH INTEREST

AI Security & Adversarial Robustness

Drawn to the problem of model integrity — how AI systems can be compromised silently, at the data layer or the inference layer, in ways that pass every standard quality check. The NIST AI 100-2 taxonomy frames this well: availability breakdown versus integrity violation. I am most interested in the integrity side. Currently reviewing adversarial ML research for IEEE WCCI 2026 IJCNN.

PROJECT KRITA

Krita

There is a state where thought dissolves into doing. Where the painter, the athlete, the scientist, and the soul are the same person. That state has a name. Krita.

Connect

Available for research collaborations, conference speaking, advisory roles, and media inquiries on agentic AI and enterprise AI strategy.

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LinkedInlinkedin.com/in/ravishgupta
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DBLPpid 208/3317
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ORCID0009-0008-9247-9579
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Emailravishgupta@ieee.org