Hello there. I'm a software engineer studying at Purdue University.
See my work below and please reach out!
- Developing an internal enterprise wide testing tool to automate unit testing, component testing, and live dependency testing to achieve 100% coverage.
- Utilized React, Next.js, TypeScript and various other tools to develop client focused reporting analytical features for Shopwave’s point of sales and inventory management systems, all while adapting to a new culture and startup environment.
- Developed a “Where to Next” tool that queries internal and external APIs to allow potential customers to analyze possible areas of expansion with React, Next.js, Vercel, JavaScript, TypeScript and multiple Amazon Bedrock AI models (Claude, Titan, etc).
- Acted as both product owner and technical advisor, guiding teams on framework selection, database management, and design patterns while promoting best practices and Agile principles throughout their project development.
- Provided comprehensive product management and feedback on design documents, backlogs, project charters, and sprint plans, ensuring each team`'`s project featured a well-defined architecture, realistic timelines, and manageable sprint cycles.
- Developed and enhanced complex FinTech applications in .NET, C# and Java with the bank’s modern engineering team, gaining experience with various tools and learning how to operate under an Agile software development cycle.
- Maintained the bank’s DevSecOps infrastructure using various tools, including Azure DevOps, Docker, Kubernetes, to support continuous integration and deployment (CI/CD) by building intuitive pipelines, increasing deployment speed by up to 20%.
- Presented detailed findings about how the bank could benefit from further AI/ML implementation to bank executives and board members, providing a detailed plan for how to plan, execute, and regulate various potential use cases.
- Enhanced the capabilities of complex machine learning models by developing software in Java, C/C++, Python, JavaScript, TypeScript, and C#, resulting in a 6% increase in model accuracy and improved performance.
- Evaluated, tested, and maintained software from coworkers, ensuring that language learning models were receiving accurate, well documented, and original code
