Jianyun Cheng - Technical Lead at Qihoo 360

Jianyun Cheng

Technical Lead at Qihoo 360

Xi'an, Shaanxi, China

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Summary

🤩

Rockstar

🎓

Top School

Jianyun Cheng is a Technical Lead with 11 years of experience designing and building high-performance, scalable distributed systems, currently leading storage infrastructure and a company-wide time-series database platform at Qihoo 360. He combines deep systems expertise—consensus protocols (Raft/Paxos variants), storage engines (LSM-tree/columnar), C++ performance tuning—with product-facing responsibilities like metadata management, fault tolerance, and low-latency query delivery. Jianyun has a track record of improving real-world systems reliability and efficiency, evidenced by contributions to the popular Apache IoTDB project where he fixed cluster schema bugs, tightened Raft log handling, removed memory leaks, and applied string interning for measurable performance gains. A hands-on mentor and architect, he bridges low-level engineering with scalable product design and is comfortable operating across large clusters under production pressure. Educated at Harbin Institute of Technology (MS) and Chang'an University (BS), he brings a pragmatic, infrastructure-first mindset to observability and time-series challenges.

11 years of coding experience

6 years of employment as a software developer

Master's degree, Computer Science, Master's degree, Computer Science at Harbin Institute of Technology

Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Chang'an University

Chinese, Chinese

Github Skills (13)

timeseries-database10

javas10

databases10

apache-iotdb10

debug10

tsd10

raft10

java10

database10

performance-optimization9

nosql9

metadata-management9

big-data9

Programming languages (3)

JavaGoLua

Github contributions (5)

apache/iotdb

Aug 2021 - Apr 2022

Apache IoTDB

Role in this project:

Back-end Developer

Contributions:43 reviews, 8 commits, 30 PRs in 8 months

Contributions summary:Jianyun primarily focused on resolving bugs and enhancing the functionality of the Apache IoTDB project, a time-series database. Their contributions include fixing issues related to schema creation in cluster mode, refining exception handling in the Raft log management, and addressing memory leaks by replacing a cache with a LoadingCache. Furthermore, the user optimized performance by avoiding flushing streams and applying string interning for device strings, demonstrating a focus on improving the database's efficiency and stability.

tdenginenosqlapachebig-datadatabase

chengjianyun/iotdb

Aug 2021 - Jan 2022

Apache IoTDB

Contributions:58 pushes, 36 branches in 5 months

apachebig-dataiotdbjavaiot

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