• Created stream-based AWS business intelligence (BI) pipeline, allowing services to send real-time metrics to the data team• Migrated various Alexa services to the new BI pipeline, shortened their BI data delivery time from 1 day to 5 minutes• Automated per-service pipeline creation with AWS CDK, eliminating human error and reducing deployment time by 400%

• Developed a notification-relay server that monitors Zoom services and provides real-time feedback on potential problems• Supported the creation of custom filtering & aggregation rules for subscriptions, reducing total notifications by over 80%• Analyzed received data and created reports based on problem trends, allowing preemptive error detection and prevention

Feature Selection with D-Wave Quantum ComputingAdvisor: Dr. Alberto Krone-Martins• Implemented feature selection using mutual information and conditional information gain from scratch.• Achieved sub-second feature selection resulting in near-optimal entropy using D-Wave quantum computing technology.

Machine Learning Based Real-Time Code Inspector:Advisor: Dr. Alberto Krone-Martins• Aims to develop a real-time code inspector that analyzes code quality and detects potential faults using machine learning.• Implemented web crawler from scratch to retrieve code from open-source repositories of the same language.• Interpret clusters of n-grams formed by unsupervised hierarchical clustering to provide useful insight in code quality.

• Participated in the ongoing development of the automated testing framework with layering architecture of the “WeSee”Android mobile application, reducing the need for outsourcing manual testing.• Learned how to use testing frameworks such as Espresso and utilized them to write simpler, yet more effective test cases.• Improved the coverage and efficiency of the automated tests, reduced the number of bugs and increased the overall quality.• Organized and reported the bugs that are found using the automated tests. Documented and merged duplicated bug reports.

• Independently developed and tested a dedicated MySQL product database and its access client with customizable features;enabled the querying and updating of different products across different departments.• Automated and improved efficiency in accessing and modifying inventory data; greatly reduced time taken in warehouseoperations such as cycle-counting and validation of shipment containers.• Programmed a series of data-analysis tools using Excel, allowed the analysis of discrepancies caused by manual mistakes.