cv_data.json

{
  "personal_info": {
    "name": "Bi Yoo",
    "title": "Lead Software Engineer & Technical Lead",
    "bio": "Seasoned full-stack and machine learning-focused tech lead building revenue-driving ad tech platforms, data products, and developer tooling.",
    "location": "Minnesota, USA",
    "email": "yoobi.dev@gmail.com",
    "phone": "952-567-3505",
    "linkedin": "https://www.linkedin.com/in/biyoo/",
    "github": "https://github.com/biyootiful",
    "website": "https://biyootiful.com",
    "work_authorization": "U.S. Citizen; no sponsorship required",
    "gender": "male"
  },

  "summary": "Tech lead with a decade of experience shipping large-scale ad tech, data, and ML systems. Drives architecture across Java, Go, and Python services, mentors multi-disciplinary teams, and delivers measurable revenue impact through experimentation and applied machine learning.",

  "skills": {
    "programming_languages": ["Python", "JavaScript", "TypeScript", "Java", "Go", "SQL"],
    "frameworks": ["React", "React Native", "Vue", "Angular", "Spring Boot", "Express", "FastAPI", "Django"],
    "ml_and_data": ["RAG pipelines", "Forecasting models", "TTS/STT", "Vector search", "Feature engineering"],
    "datastores": ["Snowflake", "Apache Druid", "MongoDB", "PostgreSQL", "MySQL", "OracleSQL"],
    "tools": ["AWS", "Kubernetes", "Docker", "Airflow", "Kafka", "CircleCI", "Jenkins", "Git", "Terraform"],
    "soft_skills": ["Technical leadership", "Cross-functional collaboration", "Mentoring", "Strategic planning", "Stakeholder communication"]
  },

  "experience": [
    {
      "title": "Lead Software Engineer, Ad & Revenue Ops",
      "company": "Insticator",
      "location": "Remote, USA",
      "duration": "Dec 2021 - Present",
      "description": "Tech lead overseeing ad monetization platforms, ML initiatives, and full-stack delivery for publisher revenue products.",
      "achievements": [
        "Architected ML wrappers that power interactive site experiences, including multimodal RAG pipelines for content generation and campaign insights.",
        "Delivered ad performance forecasting models that inform bidding strategies and revenue planning across 2,000+ publisher properties.",
        "Built and productionized Go-based services for ad exchange bidding and real-time pixel tracking, integrating with existing Java services.",
        "Designed analytics workflows that combine Snowflake and Apache Druid to surface revenue, engagement, and latency KPI dashboards with sub-second query times.",
        "Authored and maintained Airflow DAGs and Kafka streaming jobs that ingest SSP and ad server payout data, automating onboarding and reconciliation tasks.",
        "Drove engineering excellence by mentoring a distributed team of developers, reviewing architecture, and increasing sprint throughput by ~20% through codebase modernization.",
        "Partnered with product and revenue stakeholders to prioritize experimentation, including AWS Lambda@Edge-based A/B testing for header bidding clients that lifted revenue per ad unit by ~30%."
      ]
    },
    {
      "title": "Senior Software Engineer (Core Platform, Module Lead)",
      "company": "Protenus",
      "location": "Baltimore, MD (Remote)",
      "duration": "Aug 2020 - Dec 2021",
      "description": "Module lead for healthcare compliance analytics platform spanning UI, API, and data pipelines.",
      "achievements": [
        "Led development of mission-critical React and Spring Boot features that processed high-volume EHR data from Epic and Cerner systems.",
        "Raised average automated test coverage from near-zero to 80% across front-end and API codebases through tooling, reviews, and mentoring.",
        "Architected hospital workforce analytics dashboards, surfacing ETL pipeline health and anomaly detection insights for compliance teams.",
        "Optimized MongoDB-backed services to reduce response times and improve reliability for clinical operations users.",
        "Collaborated with data science teams to productionize ML features and delivered developer tooling that accelerated release cadence."
      ]
    },
    {
      "title": "Software Engineer, Front-end & Data Platforms",
      "company": "PreciseTarget",
      "location": "Washington, D.C.",
      "duration": "Jan 2018 - Aug 2020",
      "description": "Full-stack engineer building retail recommendation systems and large-scale data processing pipelines.",
      "achievements": [
        "Developed React and Vue applications surfacing >50M SKUs with advanced filtering, analytics, and personalization.",
        "Implemented Node.js and Python services for catalog ingestion, event tracking, and data validation.",
        "Created end-to-end integration test frameworks within CircleCI to safeguard complex merchandising logic.",
        "Refined PostgreSQL middleware to improve query speed, data integrity, and resilience for retail data pipelines.",
        "Mentored junior engineers and codified best practices for front-end architecture and deployment workflows."
      ]
    },
    {
      "title": "Full-stack Engineer & Consultant (Various Contracts)",
      "company": "Meaningful Gigs, SL Technology, Brivo, The Washington Post, AList Magazine",
      "location": "Washington, D.C. Metro Area",
      "duration": "Apr 2014 - Jan 2019",
      "description": "Delivered end-to-end web and mobile solutions across media, design, and manufacturing clients.",
      "achievements": [
        "Shipped responsive web applications using React, Laravel, AWS Lambda, and MongoDB to modernize content workflows.",
        "Designed reusable component libraries, testing frameworks, and CI/CD pipelines to accelerate delivery for client teams.",
        "Built internal tooling in Objective-C, PHP, and Python to automate content publishing and analytics.",
        "Partnered with stakeholders to define product strategy, manage releases, and mentor cross-functional contributors."
      ]
    }
  ],

  "education": [
    {
      "degree": "Master of Science, Computer Science (Software Engineering)",
      "institution": "University of Maryland Global Campus",
      "location": "Maryland, USA"
    },
    {
      "degree": "Bachelor of Arts, Digital Communication (Cum Laude)",
      "institution": "University of Missouri",
      "location": "Missouri, USA"
    },
    {
      "degree": "Bachelor of Fine Arts, Product Design",
      "institution": "Hongik University",
      "location": "Seoul, South Korea"
    }
  ],

  "projects": [
    {
      "name": "SaladDays (Mobile App)",
      "description": "A health and nutrition companion app using computer vision and vector embeddings to provide calorie estimates, alongside an LLM-powered coaching chat experience.",
      "technologies": ["React Native", "Python", "Vision AI", "Vector embeddings", "LLM"],
      "link": "",
      "highlights": [
        "Applies multimodal inference to improve food recognition accuracy and calorie estimation.",
        "Integrates conversational coaching that adapts to user goals and nutrition insights.",
        "Currently in App Store review with launch-ready onboarding and retention flows."
      ]
    },
    {
      "name": "ML Benchmarking Portal",
      "description": "In-progress internal site to evaluate emerging ML models and track performance across ad optimization workloads.",
      "technologies": ["FastAPI", "React", "Faiss", "LLM evaluation tooling"],
      "link": "",
      "highlights": [
        "Aggregates dataset benchmarks, latency metrics, and cost curves for rapid model comparison.",
        "Supports plug-and-play evaluation harnesses for new third-party and in-house models."
      ]
    },
    {
      "name": "Speech Applications (TTS/STT)",
      "description": "Side projects experimenting with text-to-speech and speech-to-text pipelines for accessibility and creative tooling.",
      "technologies": ["Python", "Hugging Face Transformers", "Whisper", "Tacotron"],
      "link": "",
      "highlights": [
        "Built custom wrappers and deployment patterns to streamline multimodal experimentation.",
        "Evaluated latency vs. quality trade-offs for productionizing voice-driven experiences."
      ]
    }
  ],

  "certifications": [],

  "interests": [
    "Applied machine learning for ad tech",
    "Developer mentorship and leadership",
    "Data visualization and storytelling",
    "Digital health and wellness products",
    "Scaling high-throughput platforms"
  ]
}