resume.json

{
  "basics": {
    "label": "Staff AI Platform Engineer",
    "name": "Michael Salaverry",
    "profiles": [
      {
        "network": "Github",
        "url": "https://github.com/barakplasma",
        "username": "barakplasma"
      },
      {
        "network": "Codewars",
        "url": "https://www.codewars.com/users/barakplasma",
        "username": "barakplasma (top 3% of users)"
      },
      {
        "network": "LinkedIn",
        "url": "https://www.linkedin.com/in/michaelsalaverry/",
        "username": "michaelsalaverry"
      },
      {
        "network": "Dev.to",
        "url": "https://dev.to/barakplasma",
        "username": "barakplasma"
      }
    ],
    "summary": "Staff AI Platform Engineer specializing in LLMOps, scalable web architecture, and on-premise AI inference. Expert in navigating complex technical requirements to deliver high-ROI internal tools and reliable, HIPAA-compliant AI systems.",
    "website": "https://github.com/barakplasma"
  },
  "education": [
    {
      "area": "Environmental Horticulture and Urban Forestry",
      "endDate": "2013-06-01",
      "institution": "University of California Davis",
      "startDate": "2009-09-01",
      "studyType": "Bachelor"
    },
    {
      "area": "Frontend Development",
      "endDate": "2017-09-01",
      "institution": "Wix Kickstart",
      "startDate": "2017-06-01",
      "studyType": "Bootcamp for CS graduates"
    }
  ],
  "interests": [
    {
      "keywords": [
        "Backpacking",
        "Rock climbing",
        "Motorcycles"
      ],
      "name": "Outdoors"
    },
    {
      "keywords": [
        "3D printing",
        "Baking",
        "Cardboard crafts"
      ],
      "name": "DIY"
    },
    {
      "keywords": [
        "RTL-SDR",
        "Drones",
        "Weather Sensors",
        "Raspberry Pi",
        "ESP8266",
        "ESP32"
      ],
      "name": "IoT"
    }
  ],
  "languages": [
    {
      "fluency": "C2 / Native speaker",
      "language": "English"
    },
    {
      "fluency": "B2 / Conversational and technical",
      "language": "Hebrew"
    }
  ],
  "meta": {
    "theme": "professional"
  },
  "skills": [
    {
      "keywords": [
        "Local LLMs",
        "LLMOps",
        "Prompt Engineering",
        "Vector Databases",
        "Model Deployment",
        "AI Developer Tools"
      ],
      "level": "Staff",
      "name": "AI & Platform"
    },
    {
      "keywords": [
        "HTML",
        "CSS",
        "Typescript",
        "React",
        "Vue",
        "Jest",
        "Ramda",
        "Web Components",
        "Phaser.js",
        "A-Frame"
      ],
      "level": "Senior",
      "name": "Frontend"
    },
    {
      "keywords": [
        "Python",
        "Golang",
        "Node.js",
        "SQL",
        "Redis",
        "Next.js",
        "Rust",
        "Opentrons robotics",
        "Linux / Shell scripting",
        "Directus"
      ],
      "level": "Senior",
      "name": "Backend"
    },
    {
      "keywords": [
        "Kubernetes",
        "Docker",
        "Google Cloud",
        "VPS",
        "Self-hosting",
        "K3s"
      ],
      "level": "Mid",
      "name": "DevOps"
    }
  ],
  "work": [
    {
      "highlights": [
        "Pivoted to AI Engineering, leading LLMOps and optimizing on-premise inference to ensure strict HIPAA compliance.",
        "Driving internal ROI by deploying existing models and workflow automation tools to accelerate internal applications.",
        "Acting as a Staff-level advisor to the development team on modern software techniques and AI-augmented developer workflows.",
        "Focusing on the architectural integration of local LLMs and sustainable AI infrastructure."
      ],
      "name": "QurisAI",
      "position": "Staff AI Engineer",
      "startDate": "2025-08-01",
      "summary": "Leading AI Platform Engineering with a focus on LLMOps, on-premise security, and developer productivity tools.",
      "website": "https://www.quris.ai/"
    },
    {
      "endDate": "2025-08-01",
      "highlights": [
        "Joined as the 17th employee, responsible for designing and developing the frontend architecture supporting AI-driven pharmaceutical discovery.",
        "Created and deployed real-time streaming data pipelines to enable machine learning workflows on laboratory data.",
        "Contributed across Data Engineering, Robotics, IoT, and frontend development to support company growth."
      ],
      "name": "QurisAI",
      "position": "Senior Fullstack Web Developer",
      "startDate": "2022-02-21",
      "summary": "Developed scalable data pipelines and interactive dashboards powering AI-driven drug discovery.",
      "website": "https://www.quris.ai/"
    },
    {
      "endDate": "2022-02-15",
      "highlights": [
        "Maintained and improved the QuickBooks invoice payment platform, moving millions of dollars daily for small businesses worldwide.",
        "Enhanced operational excellence, observability, and disaster recovery for a large-scale Next.js (server-side rendered) application.",
        "Led cross-team initiatives to resolve multiple high-priority security vulnerabilities affecting payment systems."
      ],
      "name": "Intuit",
      "position": "Frontend Engineer",
      "startDate": "2019-10-22",
      "summary": "Focused on reliability engineering and security for high-scale financial applications.",
      "website": "https://www.intuit.com/"
    },
    {
      "endDate": "2019-10-01",
      "highlights": [
        "Introduced and championed test-driven development, training frontend and backend teams on unit and integration testing.",
        "Developed an animated real-time heatmap widget using IoT data over WebSockets and a client-side time-series database.",
        "Contributed several upstream bug fixes to open-source dependencies.",
        "Redeveloped the client-side device graph implementation for improved performance."
      ],
      "name": "Axonize",
      "position": "Frontend Developer",
      "startDate": "2018-10-01",
      "summary": "Engineered real-time IoT dashboards with a focus on reliability and clean code practices.",
      "website": "https://www.axonize.com/"
    },
    {
      "endDate": "2018-10-01",
      "highlights": [
        "Designed and deployed a Node.js/AWS Lambda chatbot that automated DNS-related customer service, saving hundreds of support hours per month.",
        "Led a full-stack rewrite of the company’s internal CRM to improve scalability and usability.",
        "Taught a multi-week CS fundamentals course to customer service staff, raising technical literacy across the team.",
        "Founded and trained Wix’s vulnerability triage team, improving response to security reports."
      ],
      "name": "Wix",
      "position": "Frontend Developer",
      "startDate": "2016-02-15",
      "summary": "Developed automation tools and internal platforms to streamline customer support and improve security processes.",
      "website": "https://www.wix.com/"
    },
    {
      "highlights": [
        "Delivered technical solutions in high-pressure, forward-deployed environments.",
        "Built strong leadership and teamwork skills under demanding conditions."
      ],
      "name": "IDF",
      "position": "Master Sergeant, Paratrooper Brigade",
      "startDate": "2013-12-01",
      "summary": "Completed full mandatory military service with ongoing reserve duty."
    }
  ]
}

Staff Al Engineer

Aug 2025 - Present 7 mos

Pivoted to Al Engineering.

Responsible for LLMOps optimizing on-prem inference for HIPAA compliance.

Soon to be Staff level advising the dev team on software development techniques with Al developer tools.

Focusing on deploying existing models and workflow tools to accelerate internal apps and immediate ROI.

Local LLMs, Large Language Model Operations (LLMOps) and +11 skills