Lead Engineer for 'Go Birdie Go' – A cross-platform golfing analytics application. Built high-fidelity, responsive mobile interfaces using Flutter (Dart) and Material Design, ensuring seamless rendering across varying iOS and Android screen sizes. Architected a scalable NoSQL data model using Cloud Firestore, optimizing read/write ratios to handle real-time user data synchronization. Implemented serverless architecture using Python & Firebase Cloud Functions to automate complex subscription lifecycles and secure user authentication flows.

Software Engineer | Skills Tracking Application (Tracktor) at John Deere

July 1, 2023 - January 31, 2024

Standardized the deployment of an internal skills-tracking application by implementing Infrastructure as Code (Terraform), Eliminated manual server configuration and ensuring environment consistency. Engineered a fully automated CI/CD pipeline using Jenkins and AWS, reducing deployment time for internal tools from hours to minutes.

Full-stack Developer | Security Access Control (SAC) at John Deere

December 1, 2022 - July 31, 2023

Developed a critical internal security portal using Next.js, replacing manual workflows to save the department over $30k and 175 hours annually. Engineered a high-performance state management system using TanStack Query and Jotai, ensuring real-time data synchronization across complex multi-step forms. Designed efficient database schemas with Prisma, enabling advanced bulk-selection features that streamlined user permission audits.

Frontend Developer | Quality Metrics Dashboard at John Deere

August 1, 2022 - December 31, 2022

Built a React and TypeScript dashboard to visualize production outage incidents, improving the team's ability to track and resolve quality issues. Developed a custom Node.js middleware layer to aggregate and normalize data from internal Incident APIs, ensuring clean data consumption for the frontend. Integrated a Python-based NLP search engine that interprets natural language queries to surface relevant incident reports, reducing triage time for engineers.

Data Science Intern at O2Micro International Limited

June 1, 2021 - August 31, 2021

Developed automated data extraction scripts using Python and Pandas, replacing manual entry to accelerate battery performance analysis. Implemented Principal Component Analysis (PCA) algorithms to identify key variance factors in experimental datasets, filtering out statistical noise. Optimized experimental workflows based on data insights, increasing overall testing efficiency by 25% for the engineering team.