Zachary S is a Machine Learning Engineer with nine years' experience focused on Generative AI and production ML on Google Cloud, currently building solutions and workshops at Datatonic. He founded an edu-tech startup, Story Scribbler, applying GenAI to personalise reading and writing for students—successfully piloting the platform with a regional Centre of Excellence. Zachary blends full‑stack engineering chops (front-end work on community projects like the Hacktoberfest census and JavaScript contributions to the Sample Programs repo) with client-facing consultancy, turning early demos into commercial engagements. Academically grounded with a Distinction MSc in Artificial Intelligence and a first-class Computer Science degree, he pairs rigorous research-informed thinking with pragmatic product delivery. Less obvious: he oscillates between hands-on UI improvements and scalable ML deployments, comfortable moving from HTML/CSS tweaks to orchestration of cloud-based GenAI demos.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MSc, Artificial Intelligence, Masters with Distinction, Master of Science - MSc, Artificial Intelligence, Masters with Distinction at University of Plymouth
A census of those participating in Hacktoberfest (and an easy PR!)
Role in this project:
Front-end Developer
Contributions:607 commits, 385 PRs, 342 pushes in 4 years 5 months
Contributions summary:Zachary primarily focused on developing the front-end of the Hacktoberfest census website. They implemented the initial webpage structure, including HTML, CSS, and JavaScript, and added functionality to display contributor information. The user made iterative improvements to the UI by adjusting the font sizes and structure, demonstrating a commitment to improving the user experience. Furthermore, the user incorporated external libraries and services to retrieve and display the census data dynamically.
Contributions:11 commits, 1 PR, 2 comments in 5 days
Contributions summary:Zachary primarily contributed to the JavaScript implementations within the repository, specifically focusing on bubble sort algorithms and their practical application. They debugged the JavaScript code, fixed regex issues, and addressed null argument error handling. Further contributions include improvements to the user input handling and output formatting of the application, as well as incorporating modifications for the usage text.
code-golfaplpolyglotesoteric-languagediscord
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Zachary S - Machine Learning Engineer at Story Scribbler