About Me
Fourth-year student attending UCLA
Pursuing a Computer Science B.S.
I am an avid computer programmer who loves to build cool and interesting projects. I'm always eager to learn about new technologies and how to use them.
Programming Languages: Python, React, C++/C, Java
Developer Tools: Android Studio, AWS, Git, SVN, TensorFlow, Keras
Experience
Qualtrics
Software Engineering InternJune 2020 - September 2020
- Developed a ticket exports feature that allows clients to export ticket data as CSV or TSV files
- Implemented character delimiters and filters to export tickets based on various properties, such as ticket owner, status, creation date, and updated date
- Used React and AWS DynamoDB
Scalable Analytics Institute
Research AssistantOctober 2019 - Present
- Working with Professor Yizhou Sun and a PhD student on a NLP project called TwitterText
- Analyzing a massive data set of twitter text to extract political polarity from the word embeddings, with the goal of being able to detect inherent political biases in speech and depolarizing the text
- Implementing and expanding upon advanced word embedding algorithms such as Word2Vec and GloVe
Everbridge
Software Engineering InternJune 2019 - September 2019
- Developed a web application designed for companies to control and monitor projects and workflows; it was built dynamically scalable in order to query, load, and display large amounts of data
- Finished product was marketed and shipped to large companies such as Sony Entertainment
- Front-end web app developed using Vue.js | Back-end DevTrack RESTful API written in C# and SQL
TechExcel
Software Developer InternJune 2018 - September 2018
- Developed new features and APIs along the company’s data pipeline using Python, Java, and Scala, managing connections between a MongoDB, an AWS S3 datalake, and various AWS Glue ETL jobs
- Developed automated smoke tests and functional unit tests to validate the company’s data pipeline, scheduled to run daily on a Jenkins server
- Identified and corrected functional bugs, and ensured optimal performance scaling for gigabytes of data