Working with Prof. MacLellan and 7 graduate students on Cognitive AI systems, human-like AI/ML models.Adapting COBWEB, an incremental conceptual clustering system, for use in language modeling.Optimized prior Python implementation of COBWEB (∼25x speed up).Developed C++ implementation of COBWEB for better runtime performance (∼100x speed up).Researching Inverse Reinforcement Learning (IRL) and AI Planning to create agents that plan and behave like humans.

Created a fully automated infrastructure monitoring solution for visibility into the Computer Optimizer deployed services.Used Kotlin, TypeScript and AWS CDK and SDK libraries for development.Increased on-call debugging speed for services by 300%; Reduced maintenance by 30 developer days annually.

Spearheading the creation and integration of GitHub Actions for Continuous Integration and Deployment pipelines.Leading the development of an LLM-based chatbot to provide instant assistance for documentation queriesCollaborating with cross-functional teams for deployment optimization of new features on Google Cloud Platform

Created a full-featured internal tool that helps IT professionals find information to assist employees and resolve tickets.Added functionality for DocuSign app administrators to create criteria and apply them to employees seamlessly.Used Django and Vue, deployed to AWS, added Okta authorization, and optimized SQL Server queries (∼6x speed up).Implemented Identity and Access Management (IAM) protocols, enhancing user security and resource accessibility.Improved Mean Time To Resolve from ∼29 hours per ticket to ∼3 hours per ticket (∼10x speed up).Demo-ed to VP of Global IT and Chief Information Officer of DocuSign.

Developed an iOS-based Augmented Reality app that uses LiDAR data to record and send body motion to the desktop app for further analysis.Aimed to improve athletic performance by comparing simulated vs. actual motion.Being used for beta-testing the desktop app prior to the Series-C funding round.