resume.json

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  "basics": {
    "name": "Edmund Rosewright",
    "label": "Developer, Co-Founder at QC Hero, Inc.",
    "image": "",
    "email": "hi@edrw.dev",
    "phone": "",
    "url": "https://edrw.dev",
    "summary": "A Google Cloud certified engineer driven by curiosity and a passion for lifelong learning. I enjoy tackling challenging problems and exploring new technologies, to create innovative solutions.",
    "location": {
      "countryCode": "JP",
      "city": "Tokyo"
    },
    "profiles": [
      {
        "network": "LinkedIn",
        "username": "edmundrosewright",
        "url": "https://www.linkedin.com/in/edmundrosewright/"
      },
      {
        "network": "Github",
        "username": "EdRW",
        "url": "https://www.github.com/EdRW"
      }
    ]
  },
  "work": [
    {
      "name": "QC Hero, Inc.",
      "company": "QC Hero, Inc.",
      "position": "Developer, Co-Founder",
      "startDate": "2020-02-28",
      "url": "https://qchero.com",
      "location": "Chicago, IL, USA",
      "description": "QC Hero is a B2B SaaS that empowers industrial manufacturers to use machine learning in their visual inspection and quality control processes. It simplifies training ML models on massive datasets in the cloud at scale. These models are used custom defect detectors in production.",
      "summary": "As technical co-founder, I am responsible for the design and implementation of the platform's cloud-native architecture, ML pipeline, and frontend applications.",
      "highlights": [
        "Designed and implemented a robust serverless cloud architecture that enables event-driven data processing and asynchronous long-running tasks.",
        "Developed a fast, scalable ML pipeline that runs on Google Cloud Vertex AI, uses TPU accelerators, and is orchestrated with Kubeflow Pipelines.",
        "Cloud infrastructure built using many GCP services including Cloud Run, Cloud Functions, Pub/Sub, Cloud Storage, Monitoring, Firebase Auth and Firestore database."
      ]
    },
    {
      "name": "LM3 Technologies, Inc.",
      "company": "LM3 Technologies, Inc.",
      "description": "A software and hardware solutions company that began by specializing in electromechanical function testing for automotive seating. In 2017 it developed its flagship product PAQi™, a machine vision and AI-driven inspection system for advanced industrial manufacturers.",
      "position": "Senior Software Engineer",
      "startDate": "2019-03-31",
      "endDate": "2020-02-28",
      "url": "https://www.lm3technologies.com/",
      "location": "Chicago, IL, USA",
      "summary": "As the lead developer on a 5-person multidisciplinary engineering team, developed the machine learning inference server at the core of the PAQi system. This inference server allows PAQi to perform classification and object detection locally or remotely, and use those predictions determine the quality of customer's products and locations of defects.",
      "highlights": [
        "Used Flask for REST API development and Tensorflow when serving trained ML models"
      ]
    },
    {
      "name": "LM3 Technologies, Inc.",
      "company": "LM3 Technologies, Inc.",
      "description": "A software and hardware solutions company that began by specializing in electromechanical function testing for automotive seating. In 2017 it developed its flagship product PAQi™, a machine vision and AI-driven inspection system for advanced industrial manufacturers.",
      "position": "Software Engineer",
      "startDate": "2017-06-30",
      "endDate": "2019-03-31",
      "url": "https://www.lm3technologies.com/",
      "location": "Chicago, IL, USA",
      "summary": "As one of two software developers on a 5-person multidisciplinary engineering team, developed several new products that defined the company's transition away from electromechanical function testers to vision and AI-driven inspection systems, web apps, and services for product quality testing.",
      "highlights": [
        "Developed ML training pipelines built on top of the Tensorflow Object Detection API framework, and manged via a Python CLI application.",
        "Developed the mDAQ System, a web app with desktop and mobile clients, for a large automotive supplier to manage the tooling and fixtures used in their manufacturing process. Built with Java, Spring Boot, and Open Data Kit (ODK) for Mobile.",
        "Developed a custom web dashboard for a large automotive supplier to monitor real time industrial manufacturing and OEE data. Built in ASP.NET Core with C# and Entity Framework."
      ]
    }
  ],
  "volunteer": [],
  "education": [
    {
      "institution": "Kyoto Institute of Culture and Language",
      "area": "2-year intensive Japanese language program",
      "studyType": "Graduation Certificate",
      "startDate": "2019-10-31",
      "endDate": "2021-09-30",
      "score": "",
      "url": "https://www.kicl.ac.jp/",
      "courses": []
    },
    {
      "institution": "DePaul University",
      "area": "Software Engineering (Software Architecture)",
      "studyType": "Master of Science (MS) with Distinction",
      "startDate": "2015-12-31",
      "endDate": "2019-12-31",
      "url": "https://www.depaul.edu/",
      "score": "",
      "courses": []
    },
    {
      "institution": "DePaul University",
      "area": "Physics, Minors in Mathematics and Japanese Studies",
      "studyType": "Bachelor of Science (BS)",
      "startDate": "2005-12-31",
      "endDate": "2011-12-31",
      "url": "https://www.depaul.edu/",
      "score": "",
      "courses": []
    }
  ],
  "awards": [],
  "certificates": [
    {
      "name": "Google Cloud Certified Professional Machine Learning Engineer",
      "issuer": "Google Cloud Platform",
      "date": "2024-06-13",
      "url": "https://www.credly.com/badges/1b121c72-48ab-4b75-b99f-51d6209c40f0"
    },
    {
      "name": "Japanese-Language Proficiency Test (JLPT) N3",
      "issuer": "Japan Ministry of Education, Culture, Sports, Science and Technology",
      "date": "2021-01-31",
      "url": "https://www.jlpt.jp/e/"
    }
  ],
  "publications": [],
  "skills": [
    {
      "name": "Programming Languages",
      "keywords": [
        "Typescript / Javascript",
        "Python (with type annotations)",
        "and more..."
      ]
    },
    {
      "name": "DevOps",
      "keywords": [
        "Google Cloud Platform",
        "Docker",
        "CI/CD Pipelines",
        "Linux (Ubuntu, Pop!_OS)"
      ]
    },
    {
      "name": "MLOps",
      "keywords": ["Kubeflow Pipelines", "Google Cloud Vertex AI", "TensorFlow"]
    }
  ],
  "languages": [
    {
      "fluency": "Native Speaker",
      "language": "English"
    },
    {
      "fluency": "Intermediate",
      "language": "Japanese"
    }
  ],
  "interests": [],
  "references": [],
  "projects": [],
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