- Clarified system design and multithreading concepts to a class of over 250 students- Assisted students on debugging their code, enhancing students' problem solving skills and comprehension

- Managed computer labs consisting of 30-60 computers by assisting customers on printers, computers, projectors, and logging into student accounts- Periodically monitored printers on toner, paper, and drum levels and replaced them as needed- Supported Mac, Windows, and Linux operating systems and troubleshooted computer issues regarding powering on, malfunctioning apps, etc

- Established a centralized platform for annualized return rates (ARR) by implementing 3 access points, including a visualization dashboard, RPC service, and a UDF Server, enhancing algorithm accessibility for product quality teams and reducing communication overhead by over 5 rounds. - Launched 66 machine learning experiments in parallel using XManager to uncover patterns in device field failures.- Migrated input data from BigQuery to internal systems & developed a data extraction… Show more - Established a centralized platform for annualized return rates (ARR) by implementing 3 access points, including a visualization dashboard, RPC service, and a UDF Server, enhancing algorithm accessibility for product quality teams and reducing communication overhead by over 5 rounds. - Launched 66 machine learning experiments in parallel using XManager to uncover patterns in device field failures.- Migrated input data from BigQuery to internal systems & developed a data extraction pipeline with Python and SQL to efficiently extract and process Google hardware product data for the ARR algorithm, increasing security and ease of use.- Utilized PCA for dimensionality reduction and K-means and GMM for clustering analysis using sklearn in Colab notebooks, leveraging device under test (DUT) data and eliminating potential causes to failed devices. Show less

- Developed a pipeline in Bash that automates processing 100+ zip files per case, calculating SHA1 for all unzipped files, and creating an initial analysis report of cybersecurity risk, reducing the amount of time spent on a case by 80%- Implemented a RESTful API using Python Flask to connect UI to database. Generated signed urls to allow for direct uploads of files to Google Cloud Storage, reducing upload time from minutes to 3-10 seconds and improving data security- Incorporated CI/CD… Show more - Developed a pipeline in Bash that automates processing 100+ zip files per case, calculating SHA1 for all unzipped files, and creating an initial analysis report of cybersecurity risk, reducing the amount of time spent on a case by 80%- Implemented a RESTful API using Python Flask to connect UI to database. Generated signed urls to allow for direct uploads of files to Google Cloud Storage, reducing upload time from minutes to 3-10 seconds and improving data security- Incorporated CI/CD principles via Google Cloud Build for automated production deployment. Utilized Google Cloud Run and Azure Container App to manage Docker containers during API hosting, increasing its scalability- Created an AI Chatbot for detecting false cybersecurity alerts using Azure AI Search and Open AI’s LLM technology by utilizing inputs from multiple sources. Implemented a pipeline to consistently feed new data into the model Show less

- Built complex web pages using RxJS for event and data stream management, along with NgRx for data transfer between Firebase, the Redux store, and the web app, ensuring optimal performance and data flow control- Utilized Angular and Typescript to bind data to the webpages and chain web components together- Collaborated with UI/UX Designers by translating their Hi-Fidelity Figma designs into HTML and CSS