Cyrus McCormick

Hi, I'm Cyrus 👋🏻

I am a full stack engineer specializing in shipping complete products for the web & for mobile devices. From initial concept & design to advanced feature implementations, I do it all. I have a passion for creating value, solving problems, and building maintainable & scalable solutions. I am always learning, growing, and working towards a brighter future.

I've worked with many popular tools such as React, React Native, Vue, and Astro on the frontend, Node in TypeScript and Spring with Java and Kotlin on the backend. I work with relational and non-relational databases. I have shipped projects including full-stack websites, web extensions, and mobile apps for both android and IOS. Check out my recent projects if you want a sample of my works.

Outside of software development, I enjoy spending time working on my photography which I do while traveling (primarily through Latin America), as well as rock-climbing and spending time in the gym.

Recent projects
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Work Experience
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  • Walmart Global Tech
    Software Engineer
    •
    Aug 2023 - Current

    With Walmart I’ve made major contributions to enterprise-scale digital advertising infrastructure, developing a comprehensive adtech platform using Next.js, React, and Redis that manages 50,000+ in-store advertisement screens across 4,700+ store locations nationwide. Built out device management functionality including remote health monitoring, automated firmware updates, and real-time content streaming capabilities, leading to reduced manual intervention and improved operational efficiency for technicians managing digital advertising at scale.

    Previously focused on reliability engineering working with MERN applications dealing with incident management and observability solutions of Walmart’s post purchase (order fulfillment, delivery, return flows). Implemented intelligent monitoring systems using LLM and ServiceNow API integrations leading to a reduction in reporting incident noise by ~80% and streamlined manually monitored categories from ~35 down to a single incident stream, leading to faster issue detection and 24/7 automated incident monitoring/resolution coverage.

  • Sandia National Laboratories
    R&D Engineering Intern
    •
    Jan 2023 - May 2023

    Engineered data pipelines using Express.js, Node.js, and MongoDB to process millions of social media data points through web scraping and API integrations, supporting the training of Natural Language Processing models. Developed knowledge transfer tools in Java to streamline data collection from subject matter experts, improving overall data quality and model effectiveness.

Let's Connect

If you want to get in touch with me about something or just to say hi, reach out on social media or send me an email.