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3× delivery. Same resources.

I build AI-native teams
at the frontier.

Systems that automate work. Teams that scale delivery.

A short illustrative app film shows a typed request, then a light software delivery dashboard. Desktop playback keeps the complete window in view; mobile uses a gentle camera move through the dashboard. Repository numbers are example data, not Osmar’s career metrics or live activity. Animation plays once and can be paused or replayed. Reduced-motion settings show the complete dashboard without animation.

Meet Osmar

I build the foundations teams build on. Data foundations for global-scale solutions. AI foundations that put agents beside the team.

Built for humans. One simple way to delegate work, with the complexity handled behind the scenes so people can focus on what matters.

500+ users across five regions and multiple teams at Visa.

Osmar / platform outcomesPublic evidence
The work, in numbers.
ORGANIC ADOPTION500+

Users of Agent Factory at Visa.

One capability. Familiar places to work.
ContainersShared platform capabilities
DesktopShared platform capabilities
Private cloudShared platform capabilities

Governed tools, reusable skills, model routing, and human review.

The questions I bring to an AI factory: workload fit, memory, latency, cost, and how the platform will be operated.

My AI factory approach

Conversation & runtimeA familiar way to begin work with an AI assistant.

Shared compute. Self-hosted models.
Open-source and open-weight models, including Kimi and GLM, shared across teams and agents.

Bring in specialists. Show me the result.

Collaborative agents.

Delegate research and synthesis. Review one coordinated result.

Work together, in the same conversation.
Agentic Slack light application window

Agentic Slack.

People and agents share context, conversations and delegated work.

Turn the goal into accountable work.
AI orchestration platform light application window

AI orchestration.

Turn goals into delegated tasks with clear ownership and review.

How I lead

Capture know-how. Give agents ownership. Orchestrate the outcome.

Stay at the frontier.

I follow new models, tools, and interaction patterns closely, looking for a concrete problem they can solve for the team.

Follow what I’m building

EXPERIENCE, CONNECTED

The full resume
2022AI-assisted work

Early exploration of ChatGPT and Copilot.

2024Agentic workflows

From assistance to coordinated execution.

TodayShared capability

Agent platforms, team enablement, and continuous experimentation.

2024 — NOWVisa

Director, AI Agent Platform

Built the AI foundation for 500+ users; enabled 3× delivery pace. Led 9 people.

2020 — 2024Visa

Director, Data Engineering

Built the data foundation for global-scale solutions. Led 7 engineers, including remote colleagues in Mexico and India.

2018 — 2020Visa

Manager, Data Analytics

Turned weeks of analytics preparation into hours. Enabled 40+ colleagues to deliver faster insights for better client performance.

2016 — 2018FedEx Express

Data Scientist

Built executive reporting and BI platforms that gave leaders financial visibility across a $1.5B business.

My frontier lab

Hands-on AI experiments that deepen my skills. Built through Elygent, the company I founded.

CLOUD AGENTS · COLLABORATION

Meet the team behind the task.

Ask the cloud agent to bring in specialists. Follow the handoffs, inspect the tools, and review their findings.

COMPUTER USE · BROWSER AUTOMATION

Give it a task. Watch it work.

Watch the agent inspect an Amazon product, compare options, and prepare a cart for your approval. Follow the browser beside the conversation.

Amazon may require human verification.

HUMAN–AGENT COLLABORATION

Agentic Slack.

I built a human–agent communication system that connects shared conversations to delegated work.

AI governance & cybersecurity: security monitoring, scoped access and isolated execution for long-running agents.

Osmar’s communityHuman–agent workspace · powered by Buzz
3 shared channels2 community agents
Channels
  • #00-welcome
  • #01-platform-lab
  • #02-shared-compute
Agents
  • Platform Analyst
  • Review Lead

This is a public demo community. Posts are visible to its participants.

Exploring public community access to shared, self-hosted open models.

How shared compute fits

The cloud agent uses an isolated guest session. The computer prepares work for review and stops before checkout. Community participation happens in the native app.

Made for people. Readable by agents.

My experience, projects, and evidence—available as structured, public data.

Explore the API

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