# Eric Wu > Software Engineer @ TikTok | ex-Meta | ex-Oracle Location: San Francisco Bay Area, United States Profile: https://flows.cv/ericwu I am part of the University of California, Berkeley graduating class of 2019 with a double major Bachelor's Degree in Computer Science and Data Science. A couple of my professional interests are full stack development, web/mobile development, machine learning research and application, and Big Data Analytics. ## Work Experience ### Software Engineer @ TikTok Jan 2023 – Present | San Jose, California, United States ### Software Engineer @ Meta Jan 2022 – Jan 2023 Full Stack + Android developer as part of the Reels Direct Monetization Ads team Developed and maintained multiple ad formats on Facebook Reels such as Banner Ads and Post Loop Ads Owned and drove multiple features from conception through launch trying to achieve the maximum impact while embracing the “move fast” mentality Worked closely with PMs and designers to estimate and optimize impact of the feature Developed APIs and data models to efficiently achieve the goal while preventing possible regressions to key metrics and user experience/sentiment Ran extensive pre-tests and back-tests to ensure features achieved the desired impact and did not regress any topline metrics such as ads revenue and efficiency. Monitored the product through periodic data readings and analysis while gaining insights into various ads related metrics such as CTR, CVR, CPM, Bounce Rate, etc. and how they can be leveraged to achieve better ads performance and revenue. ### Software Engineer II, Member of Technical Staff @ Oracle Jan 2020 – Jan 2022 ### Software Engineer, Member of Technical Staff @ Oracle Jan 2019 – Jan 2020 | San Francisco Bay Area ### Software Engineering Intern iXp @ SAP Jan 2018 – Jan 2018 | San Francisco Bay Area Completed the “Executive Dashboard + Predictive Analytics” project as part of the SAP Hana as a Service team Spearheaded this Cloud based application and UI to help analyze and monitor internal telemetry data Developed RESTful API microservices in Go that interacted with PostgreSQL Databases for real-time data Initiated a machine learning/predictive analytics add-on component to help provide a more advanced and dynamic form of data analysis and aid in infrastructure development and server maintenance Created and trained a LSTM (Long short term memory) neural network model in Keras and Tensorflow to forecast future trends of telemetry data Introduced the dockerized microservices to AWS, GCP Lead project through Agile development lifecycle ending with final deployment through CI/CD pipeline ### Software Engineering Intern @ Cadence Design Systems Jan 2017 – Jan 2017 | San Francisco Bay Area Part of the software development team focusing on graphical visualization and analysis of voltages, currents, and other circuit simulation results Pioneered a new web-based visualization framework to revamp and supplement the existing data analysis tool Used various graphical tools such as the D3 JavaScript library Utilized Node.js to host a server and support the web-based visualization application, experimented with AWS Developed a plugin using Node.js C++ Addons to bridge the gap between the existing C++ architecture and the Node server allowing access to real-time raw data. ### Computer Science Mentor: CS61A @ UC Berkeley College of Engineering Jan 2016 – Jan 2017 | University of California, Berkeley Led a group of students through prepared lessons and review sessions ### Academic Tutor: CS61A @ UC Berkeley College of Engineering Jan 2016 – Jan 2017 | University of California, Berkeley Instructed and mentored students, both one-on-one and group sessions ### Academic Intern: CS61A @ UC Berkeley College of Engineering Jan 2016 – Jan 2016 | University of California, Berkeley Assisted students throughout the course and taught them the general structure of computer programs and introduced basic programming style and techniques. ## Education ### Bachelor of Arts - BA in Computer Science University of California, Berkeley ### Bachelor of Arts - BA in Data Science University of California, Berkeley ## Contact & Social - LinkedIn: https://linkedin.com/in/eric-yiping-wu --- Source: https://flows.cv/ericwu JSON Resume: https://flows.cv/ericwu/resume.json Last updated: 2026-03-29