Mingmin Chen
Director Of Software Engineering at Uber
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolMingmin Chen is a Director of Software Engineering based in the San Francisco Bay Area with a decade of experience building and leading large-scale real-time data and search platforms at Uber. He progressed from hands-on streaming core development and Kafka integrations to leading Data Infrastructure and Real-time Data teams, combining deep distributed systems expertise with people and product leadership. His open-source work on Cherami’s Kafka integration highlights practical proficiency in durable, high-throughput messaging systems and a focus on streamlining data ingestion pipelines. Trained as a computer scientist with PhD studies at UC Davis and roots at top universities in China and Taiwan, he brings strong academic rigor to production engineering. Known for turning complex streaming challenges into reliable, scalable services, he blends low-level systems design with strategic platform vision.
10 years of coding experience
11 years of employment as a software developer
PhD Computer Science, PhD Computer Science at University of California, DavisBachelor Computer Science, Bachelor Computer Science at University of Science and Technology of ChinaExchange Student Computer Science, Exchange Student Computer Science at National Tsing Hua University
Github Skills (6)
kafka10
go10
message-queue10
api-design9
api9
apim9
Programming languages (3)
Github contributions (5)
uber-archive/cherami-server
Sep 2017 - Oct 2017
Distributed, scalable, durable, and highly available message queue system. This project is deprecated and not maintained.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:14 commits, 8 PRs, 13 pushes in 21 days
Contributions summary:Mingmin focused on refactoring and extending the Kafka integration within the Cherami server. Their contributions involved defining and implementing interfaces for converting Kafka messages, enhancing the flexibility of the Kafka stream processing, and modifying various components to leverage the new converter interface. These changes indicate efforts to streamline and improve the data ingestion pipeline by integrating with Kafka. The user demonstrated a strong understanding of message queue systems.
golangscalablemessage-queuedurabletask-queue
uber-archive/kafka
Dec 2016 - Sep 2017
Contributions:2 releases, 6 PRs, 4 pushes in 8 months
golangkafka-consumerzookeeperload-balancingbacked
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.