resume-data.js

window.RESUME_DATA = {
    name: "Ethan Barr",
    headline: "Software Engineer • Backend / Full-stack",
    location: "Baltimore, MD • Open to Remote/Hybrid",

    github: "https://github.com/ebarr10",
    linkedin: "https://www.linkedin.com/in/ethan-barr--/",
    website: "https://ethanbarr.netlify.app/",

    updatedText: "Updated: May 2026",

    summary:
        "Software Engineer with 4+ years building backend systems, operational tooling, and data workflows in a fast-growing startup environment. Experienced in Django/DRF, BigQuery, and GCP, with a focus on production reliability, performance optimization, observability, and cross-functional engineering.",

    skills: [
        "Python",
        "Django",
        "Django REST Framework",
        "MySQL",
        "BigQuery",
        "Google Cloud Platform (GCP)",
        "Redis",
        "React",
        "Next.js",
        "REST APIs",
        "Data Pipelines",
        "Performance Optimization",
        "Observability",
        "Production Reliability",
        "Cross-functional Collaboration",
    ],

    experience: [
        {
            title: "Software Engineer",
            company: "Foreman (Startup)",
            location: "Remote / Baltimore, MD",
            dates: "2023 — Present",
            bullets: [
                "Joined as the 3rd employee and contributed to scaling backend systems and operational tooling through a period of rapid company growth.",
                "Built and scaled Django/DRF backend systems supporting large asset and miner inventories across hundreds of thousands of records.",
                "Developed operational workflows for inventory sync, issue management, power controls, exports, and customer-facing production support.",
                "Improved system performance and reliability through query optimization, caching, observability improvements, and debugging of production issues.",
                "Partnered with support, product, and stakeholders to investigate customer-impacting incidents, communicate tradeoffs, and ship practical fixes.",
            ],
        },

        {
            title: "Software Engineering Intern",
            company: "National Committee for Quality Assurance (NCQA)",
            location: "Remote",
            dates: "May 2020 — August 2021",
            bullets: [
                "Collaborated on internal engineering tools, including debugger workflows for medical language logic and file review interfaces.",
                "Built and tested React/TypeScript components for a file review website that parsed file types and displayed relevant information.",
                "Created testing environments, mocks, and unit tests to validate application behavior and catch issues during development.",
            ],
        },
    ],

    projects: [
        {
            name: "ChangeLogScribe",
            link: "https://www.producthunt.com/posts/changelogscribe?utm_source=other&utm_medium=social",
            bullets: [
                "Built a SaaS product that generates structured changelogs and release notes from GitHub activity.",
                "Implemented GitHub App flows, Stripe billing, and email notifications with a focus on reliable automation and clean user experience.",
            ],
        },

        {
            name: "Personal Website & Engineering Notes",
            link: "https://ethanbarr.netlify.app/",
            bullets: [
                "Designed and built a personal website to showcase engineering projects, technical notes, and long-form writing.",
                "Implemented reusable layouts and structured content organization for projects, articles, and learning documentation using modern frontend tooling.",
            ],
        },

        {
            name: "Sophia (Slack AI Assistant)",
            link: "",
            bullets: [
                "Built a Slack assistant that summarizes channel discussions and answers questions using structured prompts and LLM tooling.",
                "Integrated Slack command handling and message-history retrieval workflows to support contextual summaries and question answering.",
                "Explored prompt structure, context limits, and reliability tradeoffs when turning noisy chat history into useful summaries.",
            ],
        },
    ],

    education: [
        {
            school: "University of Maryland, College Park",
            degree: "B.S. Computer Science, Minor in Astronomy",
            dates: "2019 — 2023",
        },
    ],
};