San Jose, California, United States
With a Master of Science in Mobile and IoT Engineering from Carnegie Mellon University, I currently contribute as a Software Engineer at TikTok, focusing on ad monetization through A/B testing platforms using Golang. Collaborating with data science and marketing teams, we optimize brand lift studies and enhance marketing strategies through robust backend infrastructure development. Previous experiences at Amazon and AWS strengthened my skills in API development, backend logic implementation, and cross-functional coordination. Passionate about leveraging expertise in automation and data-driven insights, I aim to drive impactful technological advancements in dynamic and collaborative environments.
Ads Core and Commerce Ads, ML infra
• Developed an A/B testing platform for ADs monetization using Golang, enhancing the effectiveness of marketing strategies. • Collaborated cross-functionally with data science and marketing teams to drive insights and optimize brand lift studies. • Contributed to the creation of a robust backend infrastructure, ensuring seamless integration and performance of experiments.
• Developed a verification framework in Rust for raw pointer arithmetic operations, ensuring safety across 16 pointer operations in Rust's standard library • Collaborated in refining designs and integrating safety contracts in weekly co-working sessions • Authored GitHub posts to engage the community and share insights on methodology and outcomes
• Developed automated services and APIs by integrating DynamoDB, S3, and AWS Lambda, leading to a 100% increase in the volume of downloadable content available in the Content Explorer application • Implemented backend logic in pipeline using AWS CDK and Smithy models and created unit tests in Java with extensive use of Mockito, achieving full line coverage and ensuring robust performance • Designed and implemented search and asynchronous download features using React and TypeScript and developed a progress bar prediction algorithm to provide real-time feedback, enhancing overall user experience
• Developed a hybrid sensor system to track patient motions for an AI-based rehabilitation project with Taoyuan Hospital. • Analyzed raw sensor data and compared it with therapist-collected videos to establish a convolutional neural network structure. • Collaborated with a professor to teach Python concepts to 300 students, designed quizzes, and provided academic feedback.