Led the design, implementation and release of a an issue tracking recommendation system for a core internal tool which is used by over 200,000 people and is used by various other teams within GoogleUtilized vector word embeddings as the machine learning model to label “similar” issues Retrieved data on how user’s are engaging with the new feature and changed parameters accordingly.

Designed an AI-driven inbound call system using Python and Flask, integrated with twilio for voice calls to handle restaurant orders and customer inquiriesDeployed using Microsoft Azure, utilizing its text-to-speech and speech-to-text services to enhance customer interactions

Helped train AI LLM’s generate better code by evaluating the quality of AI-generated codeWrote functional and optimized code with human-readable summaries and explanations of how code can solve problems and evaluate various solution approaches

One of 12 selected out of nearly 400 international teams to build a machine capable of boring tunnelsCreated an Express server with multiple endpoints capable of sending control data and receiving sensor data while simultaneously logging each requestImplemented “dead reckoning” system for navigation in GUI interface built using ReactJs

I tutored and helped high school students with the knowledge and comprehension of Computer Science fundamentals in Java for their AP Computer Science A classes