# Boxian Deng > Software Engineer at TikTok | ex-Meta | CMU Alumni Location: San Francisco Bay Area, United States Profile: https://flows.cv/boxian Proficient in Go, Java and Hack/PHP, and familiar with Python. Strong background and abundant experience in product backend development, cloud computing, and distributed systems. Also excited about robotics, computer vision and game development. ## Work Experience ### Backend Software Engineer @ TikTok Jan 2024 – Present | 圣荷西, CA Music Promotion and Campaign ### Senior Software Engineer @ Meta Jan 2023 – Jan 2024 | Menlo Park, California, United States Creation and activation of Messenger Community Chats ### Software Engineer @ Meta Jan 2020 – Jan 2023 | Menlo Park, California, United States Product backend software engineer at Facebook. Products I have worked on: • Live broadcasting within Messenger Rooms • Instagram Live Room and Facebook Live Room • IG Boards • Messenger Watch Together • Community Messaging ### Teaching Assistant in 15-319/15-619 Cloud Computing Course @ Carnegie Mellon University School of Computer Science Jan 2020 – Jan 2020 | Pittsburgh, Pennsylvania 1. Developed a project about developing and deploying cloud-native microservice application with Dockers and Kubernetes. 2. Designed a new task on routing external traffic to web applications across multiple clouds by path with Azure Front Door. 3. Developed and deployed CI/CD pipeline on Azure DevOps for automatic grader deployment. 4. Held recitations and office hours. ### Research Assistant at Safe AI Lab @ Carnegie Mellon University's College of Engineering Jan 2019 – Jan 2020 | Greater Pittsburgh Area 1. Developed a website for scenario-based self-driving dataset with Spring Boot. (Link to the website: http://traffic-net.org) 2. Designed schema for scenario-based information in MySQL. Stored heterogeneous unstructured data in AWS S3. 3. Containerized the web service with Docker and deployed the website on AWS EC2. ### Robotics Software Intern @ Siemens Jan 2019 – Jan 2019 | Princeton, New Jersey, US 1. Processed Intel RealSense camera video to recognize different types of gears with various position by Convolutional Neural Network. Proposed and implemented a localization algorithm for gears with AR-markers and OpenCV. 2. Designed and integrated the database with MySQL for inventory management, which updates events, inventory, current state simultaneously with recognition. Integrated the system with the framework of Robot Operating System (ROS). ### Algorithm Intern @ Syrebo-Siyi Intelligence Jan 2018 – Jan 2018 | Shanghai, China 1. Analyzed gait data of soft exoskeleton robots for rehabilitation of stroke patients. Processed data using Python by receiving the IMU sensor data via web socket, obtaining angular velocities by filtering and differential, and converting quaternions to Eulerian angles. 2. Applied an adaptive method to the gait analysis algorithm. Gait events were detected with an accuracy of 93.4% on exoskeleton models. Addressed the issue of late control of the former algorithm. Transplanted the algorithm to Robot Operating System (ROS) and completed the tests. The algorithm has applied for patent. ## Education ### Master of Science - MS in Mechanical Engineering Carnegie Mellon University ### Bachelor of Engineering - BE in Ocean Engineering Shanghai Jiao Tong University ## Contact & Social - LinkedIn: https://linkedin.com/in/boxian-deng --- Source: https://flows.cv/boxian JSON Resume: https://flows.cv/boxian/resume.json Last updated: 2026-04-05