Sam Gilmore

As the Team Lead and Backend Engineer for Centible, I spearheaded the development of a RESTful API that integrated Plaid for secure and precise financial data retrieval. My role included enhancing both the efficiency and security of the platform by transitioning from an outdated API and leveraging Google Cloud Platform (GCP) for robust data management. Additionally, I deployed stateless Lambda functions, which played a crucial role in the successful beta release of Centible on the iOS App Store. This project allowed me to merge technical expertise with leadership, driving the project towards a successful market entry.

I developed DocuDen, an iOS app designed for document scanning, OCR, and organization, utilizing VisionKit and PDFKit. The app features advanced functionalities such as edge detection, image optimization, and text extraction, all aimed at enhancing document processing efficiency. I also integrated SwiftData for data persistence, enabling seamless file management and iCloud sync, which provided users with a reliable and user-friendly experience. This project showcases my ability to create feature-rich applications that address real-world needs, with a strong focus on user experience and technical robustness.

WT for Good Hackathon

As part of the WT for Good Hackathon, I partnered with Durham Children’s Initiative (DCI) to define user needs for an event management app. I was responsible for creating Figma wireframes and refining the UI/UX based on client feedback, ensuring the design was both functional and intuitive. I then led the development of a functional app prototype using Swift, which enabled event tracking and accountability, ultimately delivering a solution that met the client’s requirements and showcased the potential for real-world impact through technology.

Duke DataFest

Competing as a finalist in the Duke DataFest, I worked with my partner to analyze complex datasets and develop statistical models, including ANOVA and k-nearest neighbors. We utilized Python and various graphing tools, applying linear regression for a refined analysis of the data. Our efforts culminated in achieving top finalist status among numerous competing teams, demonstrating our ability to tackle challenging data science problems and derive meaningful insights from large datasets.

SwiftNetKit is an open-source networking library that I developed to streamline and enhance API call handling within Swift applications. The library supports a full range of HTTP methods, including GET, POST, PUT, DELETE, and PATCH, and provides customizable URLSession configurations. One of its standout features is robust cookie management, allowing for fine-tuned control over how cookies are handled and stored across requests. In addition to cookie management, SwiftNetKit offers custom caching options and automatic retries for failed requests, ensuring reliable and efficient network communication. The library also supports batch requests and leverages Codable for seamless JSON parsing. Available on GitHub, SwiftNetKit reflects my dedication to creating powerful, reusable tools for the Swift development community, and it’s easily integrated using Swift Package Manager.