{
  "schemaVersion": "1.0",
  "updatedAt": "2026-09-12",
  "projects": [
    {
      "id": "factory",
      "name": "Agent Factory",
      "context": "VISA · ENTERPRISE AI",
      "ownership": "Led 9 people; hundreds of agents deployed and running concurrently. Built Agent Factory as the shared AI foundation that put agents beside data-science teams, with V Agent (Visa super agent) orchestrating agents, tools and workflows across connected Visa systems, a Second Brain for shared business knowledge, and a continuous learning loop for reusable skills. Connected shared compute, self-hosted open models, and local, remote, cloud and Windows VDI execution so teams can reuse model access and delegate without managing the underlying systems.",
      "decisions": [
        "Capture reusable know-how from completed work and team contributions; recommend relevant skills at runtime.",
        "Assign skills to agent owners with clear triggers, inputs, measurable outcomes and handoffs.",
        "Orchestrate end-to-end delivery, check handoffs and escalate exceptions; retain learning in a shared Second Brain.",
        "Connect people and agents through Agentic Slack; support long-running work with security monitoring, scoped access and human review."
      ],
      "outcome": "Transformed data-science teams into an AI-native organization; enabled 3× delivery pace with the same resources. Built locally and adopted globally by 500+ total users across five regions and multiple teams at Visa.",
      "stage": "Candidate-confirmed September 2026. 3× refers to delivery pace with the same resources; its measurement period was not supplied. 500+ means total users.",
      "evidenceUrl": "https://osmarmorales.io/Osmar_Morales_Resume.pdf"
    },
    {
      "id": "mlops",
      "name": "Data automation",
      "context": "VISA · DATA & ML PLATFORMS",
      "ownership": "Built the shared data foundation the full data-science team used to create solutions and led a team of 7 data engineers, with remote colleagues in Mexico and India. Automated pipelines, transformations and recurring processes across global-scale payments data. Built reusable feature pipelines, model discovery and data-quality controls, then established a shared MLOps and CI/CD foundation.",
      "decisions": [
        "Automate pipelines, transformations and data processes end to end.",
        "Bring model registry, feature-store, and data-quality practices together.",
        "Sequence migration around continuity of delivery."
      ],
      "outcome": "Reduced repetitive engineering work and accelerated analytics and ML delivery through reusable automation. Migrated 1k+ repositories and 500+ pipelines without disrupting business workflows.",
      "stage": "Career results from candidate-provided professional record.",
      "evidenceUrl": "https://osmarmorales.io/Osmar_Morales_Resume.pdf"
    },
    {
      "id": "elygent",
      "name": "Independent AI lab",
      "context": "INDEPENDENT AI RESEARCH · ELYGENT",
      "ownership": "Use Elygent, the company I founded, as an independent AI lab to test emerging ideas and deepen hands-on expertise. Built a human–agent communication system and AI orchestration platform on open-source foundations, connecting conversations to accountable work. LLM-agnostic and harness-agnostic integrations through APIs, CLIs and MCP let teams reuse tools, skills and knowledge across workflows. Hands-on model work includes self-hosted open models on shared compute. AI governance and cybersecurity include scoped access, security monitoring, isolated execution and human review.",
      "decisions": [
        "Make delegation simple while connecting the right agents, tools and knowledge behind it.",
        "Carry useful context across workflows while preserving personal and business boundaries.",
        "Ship working experiences and validate the real model-to-tool path before expanding capabilities."
      ],
      "outcome": "Turned research into working experiments: a public cloud-agent lab on Linux VPS, Agentic Slack collaboration and controlled browser execution. Visitors can delegate research, follow specialist handoffs and review the results.",
      "stage": "Elygent is an independent company founded by Osmar in October 2025, confirmed September 2026. Implementation: Buzz for communication, Paperclip for orchestration and Numbat for security monitoring. Its public lab and native community are live; Visa adoption metrics do not describe Elygent.",
      "evidenceUrl": "https://osmarmorales.io/Osmar_Morales_Elygent_Technical_Brief.pdf"
    }
  ],
  "evidenceBoundaries": [
    "Use Second Brain for shared business knowledge. Retain Agent Factory as the AI enablement platform name and use plain-language descriptions for other internal initiatives. Retain V Agent (Visa super agent) as the named orchestration layer across connected Visa systems. Do not imply coverage of every Visa system.",
    "Lead with business value and recognizable capabilities: Agentic Slack and human-agent collaboration, AI orchestration platforms, and AI governance and cybersecurity. Use niche implementation names for technical detail and accurate upstream attribution, not as substitutes for explaining the work.",
    "Elygent is the company Osmar founded in October 2025 and uses as an independent AI lab. Present it as hands-on experimentation and skills development, secondary to his professional career. Do not infer commercial focus, full-time startup commitments, or employment availability.",
    "Latest requested scope: AI Agent Platform leadership is stated as Led 9 people; Data Engineering led 7, with remote colleagues in Mexico and India. This supersedes earlier recruiter-copy wording; do not infer current direct-report structure or regional headcounts. VisaNet scale describes the payments-data context, not ownership of the core network or a quantified daily processing rate. No literal 10× productivity or months-to-hours outcome is established.",
    "Career outcomes are candidate-provided, not an independent employer audit.",
    "Role dates corrected directly by Osmar on September 10, 2026: current role October 2024; previous Director role ends September 2024. These supersede the earlier dates.",
    "3× describes reported delivery pace with the same resources; no measurement period or standardized benchmark was provided. continuous learning loop improvement refers to skills and shared knowledge, not model-weight training.",
    "Elygent is an independent AI platform company founded by Osmar in October 2025. Revenue, headcount and commercial adoption metrics were not supplied; Visa adoption figures do not apply to it.",
    "Private-cloud evidence supports service use and application delivery, not ownership of every catalog service. Self-hosted model deployment is candidate-confirmed; this does not establish self-hosted inference in the public demo community.",
    "The supplied record does not establish GPU-fleet, facilities, RFP or infrastructure-budget ownership.",
    "Education is Finance with a Mathematics minor; no engineering degree is claimed.",
    "Capacity controls are hypothetical design exercises, not production telemetry.",
    "The public sandbox cannot access private accounts, gateways, knowledge or payment credentials."
  ]
}