- Led and executed projects in improving the quality and maintainability of Snap's Ad Infrastructure through end-to-end feature development, including: feature planning, mobile development, QA testing, and roll-out & maintenance of features through AB testing and data analysis- Spearheaded iOS client roll-out of Creator Stories Revenue Sharing platform and solved multiple revenue-blocking incidents- Introduced and implemented several novel device and user interaction signals for use in Ad Ranking system, mainly across Lens and App Install ads- Restructured and streamlined Organic and Sponsored Lens delivery and rendering on iOS client; performed thorough E2E testing due to project magnitude- Increased SKAdNetwork ad attribution rate by 6% after performing and evaluating large-scale user interaction study

- Automated and streamlined testing process for incoming NAND flash memory chips used in Seagate’s latest SSD technology.- Created Jenkins Pipeline that built, tested, and ran latest testing and data pre-processing applications across multiple servers.- Optimized processing time of loading test files, monitoring running tests, gathering resulting raw data, and pre-processing data from approx. 40 hours to 7 hours through automated decision making and a new internal testing API.- Reorganized file structure and naming system to allow for more flexibility in automating specific test procedures and greater interpretability of pre-processing functions.

- Tested and cleaned data in final staging phase of Individual Health Record (IHR) application, UnitedHealth's comprehensive health record tool, before initial push to production.- Developed robust Python script that parsed, cleaned, and formatted HL7 and 837 Medical Claim files with a 94% error correction rate, and ingested data into a SQL Server database.- Outlined design and functionality for user-friendly React app to search database for patient data with specified characteristics.- Collaborated with nurses and sales representatives to ensure ease of use across non-tech backgrounds. App was used for IHR testing and product demonstration to clients.

- Developed pipeline to create categorized test data of audio files and accompanying scripts for auditory sentiment analysis application.- Implemented YouTube Data API to find additional high quality testing data and metadata for specified categories, and downsampled audio to MP3 encoding bitrate.

Tutored and guided high school students in subjects ranging from essay writing, math, and science to standardized test preparation, such as the ACT, SAT, and PSAT.

Worked in MATLAB under the guidance of a graduate student to convert MRI data in k-space to its image format. Expanded my knowledge of signal processing and the MATLAB language, as well as my interest in electrical engineering.

Assisted graduate student with PhD research by creating macros in Excel using Visual Basic that read and collated data from MRI scans and evaluated the data using various statistical tests. Introduced me to programming, as well as gave me a basic knowledge of functionality of MRI machines and the meaning of its data values.