About me

Hi, I'm Jake – and I love building things that are smart, simple, and actually useful. Whether it's a cross-platform app, a new website, an automation or even an agentic system - I love it all. I strongly believe to thrive in this new era of technology you have to think small, simple and fast.

That’s why I’m currently working towards my machine learning certification from Google. I'm constantly learning and experimenting – not just to keep up with the latest tech, but to push the boundaries of what I can build. My goal is to create tools and experiences that feel intuitive, responsive, and even fun. Whether I’m developing solo or collaborating with a team, I focus on shipping fast, learning fast, and improving every step of the way.

What I love building

  • mobile app icon

    Mobile Apps

    Cross platform apps that deliver smooth performance and great user experience.

  • Web development icon

    Websites

    Visually appealing and functional websites that reflect purpose and quality.

  • design icon

    Automations

    Efficient workflows and pipelines which boost productivity and reduce manual effort.

  • camera icon

    Artifical Intelligence

    Scalable and flexible models which adapt to real world needs based on realtime data.

Skills

Resume

Education

  1. Christopher Newport University

    Bachelor of Science in Computer Science and Marketing (B.Sc. BSBA)

    Sept, 2019 — May 2024
  2. Google Certification

    Professional Machine Learning Engineer

    Mar, 2025 — Ongoing

Experience

  1. Software Developer (Freelance)

    Verry, LLC

    Aug, 2024 — Present •

    Virginia Beach, VA

    • Built and deployed 3 cross-platform mobile apps using FlutterFlow, achieving >98% crash-free sessions
    • Deployed 15+ serverless functions using Google Cloud Functions, reducing latency by 35%.
    • Created a real-time ML inference pipeline using Vertex AI endpoints with under 300ms.
    • Integrated OpenAI and Gemini APIs to power intelligent in-app features
    • Developed and fine-tuned custom machine learning models for diverse use cases including NLP (text classification, summarization) and computer vision (object detection, image segmentation) using TensorFlow, PyTorch, and Hugging Face Transformers.
  2. Mobile App Developer

    Wigwag

    Nov, 2023 — Aug, 2024 •

    Newport News, VA

    • Integrated RevenueCat to manage in-app purchases, leading to a 22% increase in subscription revenue.
    • Implemented OAuth sign-in with Google, Apple, and Facebook, boosting user onboarding rate by 31%.
    • Leveraged Firestore for real-time sync, reducing sync errors by 9%.
    • Designed adaptive prompt flows for Gemini, increasing user engagement with AI features by 26%.
    • Created LangChain agents that orchestrated multiple tools (web search, calculators, internal APIs) to autonomously complete complex user tasks
    • Performed full-cycle deployment including code reviews and publishing to Play Store and App Store.
  3. Automation Specialist

    Emissary Recruiting Solutions

    Apr, 2021 — Nov, 2023 •

    Yorktown, VA

    • Automated recruitment workflows using Zapier and Google Apps Script, reducing manual data entry by 65% and saving ~10 hours/week.
    • Integrated email, LinkedIn, and social media channels with CRM, increasing lead conversion rate by 28%.
    • Built 10+ internal tools and scripts to manage candidate pipelines, improving recruiter productivity by 35%.
    • Automated outreach and follow-ups with Lemlist, increasing response rates 30%.
    • Built interactive reporting dashboards in Monday.com, improving team visibility into hiring KPIs and reducing manual status updates by 70%.
    • Collaborated directly with leadership to identify tech gaps and deploy digital solutions.

Tech Stack

Web / App Development

  1. Frameworks / Languages

  2. Database

  3. Connections

  4. Payment Gateway

  5. Deployment

Model Development

  1. Frameworks / Languages

  2. Data

  3. Deployment

  4. Tools & Utilities

Portfolio

Contact

Contact Form