As part of the Demand Experience team at Google Cloud, we support organizations in their digital transformation by enhancing customer experiences on GCP. Our focus is on visualizing and analyzing customer demand, revealing cloud capacity, and guiding supply shaping systems to optimize resource allocation. By leveraging infrastructure and industry-specific solutions, we contribute to delivering tailored, effective cloud services that meet the unique needs of our clients.

As part of the TV player team, we are dedicated to enhancing playback experiences on consumer electronics. Our focus lies in optimizing streaming performance and scalability, with a keen eye on innovative initiatives such as Live Streaming and Cloud Games. Collaborating closely with various teams across Netflix, including UI, content protection, and platform capabilities, we drive forward product innovation and seamless integration. Our diverse expertise spans embedded systems, streaming media, content protection, and more, enabling us to deliver cutting-edge solutions to millions of devices worldwide.

As part of the Rich Media Experiences (RMX) team, we utilize computer vision, 3D technology, and deep learning to create groundbreaking tools that help Zillow's customers make sense of home information and find their dream homes. Working closely across product, research, engineering, and business teams, we enable people to virtually experience walking through homes, using the latest advancements in technology.

- Mastered fundamental programming concepts, such as object-oriented programming, data structures, and REST API requests.- Constructed RESTful web services with Spring Boot and implemented dependency injection techniques.- Designed and developed simple REST APIs, and tested them using Insomnia.- Integrated HTML/CSS user interfaces with REST APIs.- Utilized MySQL to create, retrieve, update, and delete data from relational databases, and interpreted entity-relationship diagrams (ERDs) to inform data modeling decisions.- Employed Spring Data JPA to manipulate relational data with ease.- Executed unit and integration tests with JUnit in a collaborative development environment using Jira.- Leveraged mock objects and stubs in unit testing, deployed Java web service projects to Amazon Web Services, and implemented a robust continuous integration and delivery (CI/CD) pipeline using CircleCI.

Selected to be apart of an immersive experience with Capital One Executives that give hands on experience to enhancing tech skills, gaining mentor-ship, and obtaining business environment development.- Developed an AI Twitter chatbot using the Python library Markovify to generate accurate conversational responses to user input using up to 10,000 preexisting tweets.