Implemented AWS Batch feature that allows users to configure Firelens log drivers for their Docker containers.Gained hands-on experience with deployment processes and scheduling strategies for large-scale parallel-processing systems

Applied LLM libraries to new domains over the course of the winter internship with Scaled Cognition.Built an LLM-powered online web scraper with the ability to perform QA over websites, generate scraping code for websites, and explore the web for further information.Trained, evaluated, and tested AI agents while providing feedback on LLM libraries used.

Built new programming tool “Aptly” to automate mobile app development by parsing verbal descriptions into Python code and converting them into working apps on App Inventor’s block-based coding interface. Redesigned new client to Amazon Alexa server model to be more asynchronous, reducing time spent by users awaiting server response. Improved user interface for testing of mobile applications to provide more clarity in coding errors. Used by 14+ million App Inventor users worldwide. Wrote research paper on using large language models for mobile application generation based on “Aptly” work, accepted by ACTA Scientific Journal. Assist in graduate student’s research on simplifying API calls by building apps utilizing popular APIs such as Spotify and ChatGPT. Led workshops educating teachers on how to utilize App Inventor and Aptly in their classrooms to inspire young students to explore computer science.