- Took charge of the company Python service, redesigning infrastructure from the ground-up toimprove readability, enforce modularity and promote maintainability using relevant design patterns,resulting in vastly improved code efficiency, quality, and cost-effectiveness- Architected and executed a company migration from the OpenAI API to utilizing open-sourceLarge Language Models in AWS, vastly improving data privacy for company clients.- Overhauled existing company document processing capabilities to enable robust parsing of tables,images and graphs in client documents.- Took initiative through identification of flaws in product performance, and subsequently identifyingresearching and developing solutions to reduce or solve such flaws.

- Designed and built a mass language-annotation platform using Typescript and a SQL relationaldatabase, enabling users to generate thousands of pieces of data designed to train a newsanalysis AI model.- Built a data-visualization tool using Python and PyTorch which enabled non-programmers withinthe company to understand and interpret abstract ML model parameters, performance andoutput.- Developed a custom web-extension, extending existing multi-tiered company infrastructurein Rust to bring the mobile app overlay experience to the web.