Driven to develop elegant software solutions and build purposeful products, especially for fast-growing companies and startups. Passionate about learning new tools and technologies. Curious about the intersections of technology within music, media, and sports.
Delivered an MVP with a team of 4 engineers, consolidating the entire IP lifecycle onto a SaaS web application allowing IP teams to efficiently manage and protect their IP portfolio
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Contributed to the MVP by designing and developing foundational data models, entity relationships, databases, backend logic, and API features using Ruby on Rails, PostgreSQL, and GraphQL
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Expanded to a full-stack role to assist with frontend development (React, TypeScript), independently executing the design, development, testing, delivery, and maintenance of key features across the stack
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Built a team management system that enabled IP managers to assign and track the users contributing to an IP matter along with their roles
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Created a document management system by leveraging an AWS S3 backend integration and building an interactive UI for users to store, access, custom label, and manage their documents and images, including file attachments to IP docketing items
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Contributed to the development of a rules engine that automated workflow management of patent applications and maintenance processes by generating recommended tasks and deadlines
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Developed a cost tracking feature to simplify expense management for IP teams by importing invoice data automatically, linking this data to associated IP matters, allowing custom labeling, and exporting expense reports
Collaborated with an art professor and 2 fellow students to build a cross-platform (iOS/Android) mobile app providing audio descriptions and curatorial information for nearby public artwork, prioritizing universal accessibility for users of all visual abilities
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Led the full-stack development of an accompanying web application for city arts administrators to manage the mobile app's database of available artworks
Developed essential CLI and REST API features using Go and PostgreSQL, enabling clients to efficiently access, analyze, and curate data from a database of 50+ million medical imaging files
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Implemented web caching capabilities utilizing Redis to improve data retrieval, scalability, and user experience
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Created a DICOM test file generator, performance benchmarking processes, unit tests, regression tests, and other miscellaneous testing tools to boost robust and reliable software performance and delivery
