Yifu Zhou is a Big Data Developer with nine years of hands-on experience building backend systems and data-driven solutions, currently working at Huawei and completing an M.S. in Computer Engineering at Iowa State University. He blends strong fundamentals in C/C++, Java, Python, and Linux with practical exposure to machine learning, time-series databases, and mobile platforms. Yifu has contributed performance and usability fixes to the Apache IoTDB project, improving cluster robustness and query behavior for a widely used open-source time-series DB. His background includes teaching large undergraduate cohorts Verilog/VHDL and mentoring students, plus applied data-analytics internships where he deployed K-Means clustering and Tableau visualizations for business insights. Comfortable moving from low-level socket and POSIX-threaded C implementations to high-level Python ML pipelines, he’s skilled at translating analytical ideas into production-ready code. Colleagues can expect a developer who pairs technical rigor with clear communication and a track record of improving system reliability at scale.
9 years of coding experience
Bachelor of Science (B.S.), Computer Science, Major GPA: 3.7, Bachelor of Science (B.S.), Computer Science, Major GPA: 3.7 at Iowa State University
Contributions:52 reviews, 41 commits, 48 PRs in 1 year 6 months
Contributions summary:Yifu contributed to the Apache IoTDB repository, a time-series database. Their work primarily involved fixing bugs and improving the database's performance. The user addressed an exception in cluster mode and simplified the average formula, resulting in a more robust and efficient system. Additionally, the user worked on integrating show node commands into the cluster version and improved the usability of the database.
Contributions:26 commits, 25 pushes, 1 branch in 15 days
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