orlando lugo.

PRODUCT · SAFEGUARDS · GOVERNANCE

Building AI
systems worthy
of trust.

I build safeguards, evaluations, and governance practices that help consequential AI systems hold up in production.

Illustrated portrait of Orlando Lugo
ENTER
01
ABOUT

Responsible AI works best woven into how products get built, as a habit of practice rather than a checkpoint at the end.

At Salesforce, I lead Responsible AI strategy for high-risk agentic AI deployments. I work across product, engineering, research, legal, and policy to turn safety questions into system instructions, runtime classifiers, evaluations, interventions, and clear product requirements.

My practice spans red teaming, model evaluation, privacy-by-design, and regulatory translation. The connective tissue is product judgment, finding the intervention that is technically sound, useful to people, and durable at enterprise scale.

Before working in technology, I led public engagement and data privacy initiatives at The Seattle Public Library. That grounding still shapes my approach. Start with the people affected, make tradeoffs visible, and build accountability into the system.

AI GOVERNANCEPRODUCT STRATEGYMODEL EVALUATIONRED TEAMINGPRIVACY BY DESIGNRESPONSIBLE AGENTS
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SELECTED WORK

Ideas translated
into practice.

01

AI TRANSPARENCY / 2026

Making AI’s environmental impact visible

Operationalizing energy and carbon metrics in Salesforce model cards so customers can evaluate AI beyond performance alone.Salesforce News
02

AI ASSURANCE

Using ethical hacking to build trust in AI

How red teaming and bug bounty programs can surface risks early and turn responsible development into a practical, participatory process.Salesforce
03

INCLUSIVE PRODUCT DESIGN

Expanding gender identity options in Salesforce

Product changes that give people more accurate ways to represent their identities across Salesforce experiences.Axios
03
CONNECT

Open to conversation on AI governance, board roles, and product leadership.

Let’s
connect.

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