I make AI work inside enterprises that don't make it easy.

For eleven years, I've worked with brilliant engineers and business leaders to turn AI proofs of concept into systems companies actually depend on.

Carnegie Mellon '15 IBM → Gartner Denver, CO mail@lmarquina.com
35+
Production AI deployments
12M+
Subscribers on largest platform
11
Years in production AI
10+
Industries shipped in
Build
Data architecture to ML engineering to production. The full picture, not one layer of it.
Lead
Teams of 5 to 50+. Delivery, rollout, and program execution across orgs and time zones.
Advise
Platform choices and AI governance for CIOs, backed by bake-offs and evals I run myself.
Agentic AIConversational AIVoice & NLPRAGMulti-Agent OrchestrationMLOpsAI Governance

Selected Work

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Build · Telecom & Media
Tier-1 U.S. Telco

One Virtual Agent Platform, Every Channel, One Telco

IBM North America's first contact center AI program, and I ran it for eight years. My team built seven virtual agents for subscribers, field technicians and employees across chat, voice, SMS and the app, on an orchestration layer we wrote from scratch. IBM was paid per deflected interaction. We re-platformed it twice without dropping traffic. It still runs.

$350M+
Documented OPEX relief
~50%
Containment, up from ~15%
~500K
Monthly active users
2017–2025 · Telecom & Media

Notes

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Future of Work Mar 2026
My biggest takeaway from Gartner's D&A Summit wasn't actually about AI. The expectations for the engineer of the future will shift — not just in what we build, but in how we communicate it.
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AI Access Feb 2026
As foundational models get closer to our everyday life, their underlying training data creates an access schism by default. Foundational models learn a representation space whose structures are disproportionately shaped by English-language data.
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Agentic AI Nov 2025
Agentic AI was the #1 topic in every CIO/CDO/architect conversation I had at Symposium. The more vendors claim to be agentic, the harder it is to find the ones that actually are.
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AI Reasoning Oct 2025
OpenAI researchers claimed GPT-5 had "solved" a batch of Erdos problems. Turns out… not quite. Retrieval ≠ Discovery. Finding an answer isn't the same as creating one.
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Writing

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EmployeeWorks & Otto: ServiceNow's Foray into the Employee AI Front Door

Otto and EmployeeWorks give ServiceNow a real conversational AI stack. A practitioner's take on the good, the gaps, and what to ask before you migrate.

lmarquina.com

ServiceNow Generative AI: Now Assist

A practical breakdown of Now Assist and what it means for enterprise AI delivery in service workflows.

Medium

Path

2026
Guest lecturer, AI & Innovation · Carnegie Mellon
2025 –
Partner & AI Practice Leader · Gartner
2015–25
Data Scientist → Assoc. Partner · IBM
2016
Olli — Autonomous Shuttle Voice Assistant (IBM)
2015
B.S. Statistics, Honors · Carnegie Mellon

Let's talk.

Working on AI that has to hold up in production? I'm always up for comparing notes.