{
  "basics": {
    "name": "Ethan Domokos",
    "label": "VP, Data & AI",
    "email": "ethan.domokos@gmail.com",
    "url": "https://ethan-domokos.ca/",
    "summary": "Google Cloud Certified Professional Data Engineer leading enterprise data strategy while still building: production LLM agents, governed cloud data ecosystems, and the ML underneath them. My starting question is always what problem we're solving and what value it delivers — the technology follows from that answer, not the other way around.",
    "location": {
      "city": "Ottawa",
      "region": "ON",
      "countryCode": "CA"
    },
    "profiles": [
      {
        "network": "LinkedIn",
        "username": "ethan-domokos",
        "url": "https://www.linkedin.com/in/ethan-domokos-b73715200/"
      },
      {
        "network": "GitHub",
        "username": "et-do",
        "url": "https://github.com/et-do"
      }
    ]
  },
  "work": [
    {
      "name": "Noise Digital",
      "position": "VP, Data & AI",
      "startDate": "2026-01",
      "highlights": [
        "Led design and development of an enterprise agent that lets CRM teams build audience segments over first-party data enriched with multiple ML model attributes and push them to two activation platforms, all through natural language, cutting a month-long task down to minutes.",
        "Productionized a suite of GenAI applications, including an LLM-driven semantic-model agent for governed natural-language querying and visualization, and a persona-simulation agent that has simulated 77 personas from enterprise research, replacing manual focus-group analysis with on-demand qualitative simulation."
      ]
    },
    {
      "name": "Noise Digital",
      "position": "Senior Data Engineer",
      "startDate": "2024-01",
      "endDate": "2026-03",
      "highlights": [
        "Orchestrated a foundational data ecosystem and governance framework for a high-profile public-sector client. Led a team of three to deploy 200+ automated ETL/ELT pipelines processing 40B+ records, migrating legacy silos into a unified BigQuery environment for real-time analytics.",
        "Built the orchestrated pipeline behind a data product consumed nationally, replacing the previous production process and saving $1.4M annually in operating costs.",
        "Architected a Bayesian Small Area Estimator within that pipeline as a containerized serverless service, mitigating market concentration and data suppression. Engineered geographic proximity anchoring to rebalance category and origin market spend distributions, doubling unique actionable data series."
      ]
    },
    {
      "name": "Noise Digital",
      "position": "Data Scientist",
      "startDate": "2021-11",
      "endDate": "2023-12",
      "highlights": [
        "Built an end-to-end MLOps solution to improve GA4 user experiences and paid media activation, using machine learning to generate user attributes for advanced audience segmentation."
      ]
    },
    {
      "name": "Noise Digital",
      "position": "Jr. Data Analyst",
      "startDate": "2021-05",
      "endDate": "2021-10",
      "highlights": [
        "Migrated legacy BI ELT pipelines off Power BI's Power Query into custom BigQuery orchestration across 10 active client dashboards, cutting refresh time from 12 hours to 10 minutes and lifting refresh uptime from 70% to 99%."
      ]
    }
  ],
  "projects": [
    {
      "name": "Myelin",
      "description": "Neuromorphic long-term memory for AI agents: brain-inspired persistent context shared across Copilot, Claude, and Cursor.",
      "url": "https://github.com/et-do/myelin",
      "highlights": [
        "Scores 98.2% Recall@5 on LongMemEval, beating GPT-4o-based systems using only local 22M-parameter models, with flat ~130ms retrieval latency from 100 to 1,000 memories via HNSW indexing.",
        "Zero-LLM architecture: recall, classification, and semantic operations all run on local models, so it works offline with no API dependency."
      ],
      "keywords": [
        "Python",
        "ChromaDB",
        "MCP",
        "Embeddings"
      ]
    },
    {
      "name": "no-pilot",
      "description": "Zero-trust MCP server mirroring GitHub Copilot's built-in VS Code tools, with strict policy enforcement and no cloud dependencies.",
      "url": "https://github.com/et-do/no-pilot",
      "highlights": [
        "Enforces deny/allow policy at the MCP execution layer rather than the prompt layer, so no amount of prompt injection or natural-language persuasion widens an agent's access.",
        "Project policies layer on top of user policies and can only tighten, never loosen, with shell escape sequences blocked to stop nested commands from widening permissions."
      ],
      "keywords": [
        "Go",
        "MCP",
        "Policy-as-Code",
        "Zero Trust"
      ]
    }
  ],
  "education": [
    {
      "institution": "Carleton University",
      "area": "Neuroscience",
      "studyType": "Bachelor of Cognitive Science",
      "startDate": "2017",
      "endDate": "2021"
    },
    {
      "institution": "Hobart and William Smith Colleges",
      "area": "Biochemistry",
      "studyType": "Bachelor of Science",
      "startDate": "2017",
      "endDate": "2018",
      "score": "Transferred to Carleton. NCAA hockey."
    }
  ],
  "skills": [
    {
      "name": "Languages",
      "keywords": [
        "Python",
        "SQL",
        "Go",
        "JavaScript"
      ]
    },
    {
      "name": "Cloud & Data",
      "keywords": [
        "GCP",
        "BigQuery",
        "Airflow",
        "Looker",
        "ETL/ELT",
        "Data Quality Testing",
        "Data Visualization"
      ]
    },
    {
      "name": "AI & ML",
      "keywords": [
        "LLM Agents",
        "RAG",
        "Agentic Workflows",
        "MLOps",
        "Generative AI",
        "Bayesian Modelling"
      ]
    },
    {
      "name": "Strategy",
      "keywords": [
        "Enterprise Data Strategy",
        "Data Governance & Privacy",
        "Cloud Architecture",
        "Responsible AI",
        "Technical-to-Business Translation"
      ]
    }
  ],
  "certificates": [
    {
      "name": "Professional Data Engineer",
      "date": "2025-09",
      "issuer": "Google Cloud"
    }
  ],
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    "canonical": "https://ethan-domokos.ca/",
    "lastModified": "2026-08-21T01:57:13Z"
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