Chi-Chen Lo Email & Phone Number

Mountain View, California, United States

Hsinchu, Taiwan, TW

Menlo Park, CA, US

• Working at Ads Serving Platform (Ads Infra).
• Developing the Ads Serving Platform. Building Meta’s infrastructure for delivering ads to billions of users and millions of businesses.
• Developed a user‐centric data model that upholds user privacy preferences in the ads delivery process.
• Refactored multiple ads delivery flows to adhere to privacy regulatory changes in different regions.
• Introduce an end‐to‐end testing framework to ensure data integrity for the team.

Menlo Park, CA, US

• Worked at Capacity and Efficiency Analysis.
• Worked on Capacity and Efficiency Analysis. Developed solutions for Meta’s capacity planning in over 50 data centers globally.
• Managed capacity demand for Core Services and Instagram. Led efficiency initiatives during the capacity crunch of 2021‐2022.
• Evaluated and solved performance bottlenecks. Achieved significant CPU improvements, resulting in yearly cost savings of hundreds of thousands of dollars.

• Developed Cascade, a key capacity planning tool aims to eliminate the manual burden of resource allocation for more than 40% of the machines in Facebook’s data centers across the world.
• Defined a comprehensive interactive dashboard to visualize Cascade in a rich and intuitive way.
• Extended the usability of Cascade by integrating capacity constraints into system concerns so users can make more meticulous capacity planning.
• Evaluated and solved performance issues in Perf-a-thon and gained significant CPU wins that will save many thousands of dollars per year.

New Taipei City, Taiwan, TW

• Participated in the early development of C2Share project, which wishes to provide NAS users a save cloud storage solution that features EB's of cloud storage space with a near-native file access time.
• Redesigned the data transmission mechanism. Used libcurl and event thread pool to achieve block-level parallelization. Effectively reduced the bottleneck for large file transmission time by 80%.
• Experimented and redesigned overall file storage structure for the C2Share. Optimized on the latency of synchronizing large files between the local NAS and the cloud storage. Introduced patch-chunk partial upload and.
• Utilized Google's gRPC and Protocol Buffers in the C2Share project to achieve more general and extensible inter-process and inter-thread communication interface.

Nankang, Taipei, TW

• Participate in the AirBox project, a cross-country project deployed thousands of IoT air quality sensing devices for research in networking, data science, and public health.
• Improved the Machine Learning algorithm for predicting future PM2.5 by extending the time range of prediction from a few hours to 24 hours with the same level of accuracy

Taipei, Taiwan, TW

• Used django to build a web interface for internal databases to facilitate non-engineer members’ work in the company.
• The system provides both a quick review and easy access to thorough databases by calling RESTful APIs. Greatly reduced the time sales teams and managers spend on searching the data they want in the database.
• Developed an insight system to provide a higher level of knowledge from data like statistics and special event indicator.

Master Of Science - Ms, Computer Science And Engineering

Bachelor'S Degree, Computer Science And Information Engineering