Wang Jiefan is a backend software engineer based in Singapore with nine years of experience focusing on high-performance computing, distributed systems, and platform development. He co-founded and led an NUS SoC competition group that delivered dramatic runtime improvements (×257) for a climate model through C++26 GPU offloading and MPI topology optimizations, and built a private multi-node research cluster managed with Ansible and Spack. Jiefan has production experience at ByteDance and Shopee and has taught parallel computing and AI courses at NUS, bridging research-grade optimization techniques with real-world backend engineering. Known for deep familiarity with CUDA, advanced C++ features, and memory-aware optimizations, he pairs hands-on low-level performance tuning with platform-level tooling and automation. An understated strength is his ability to translate complex HPC techniques into maintainable infrastructure that scales across nodes and teams.
9 years of coding experience
1 year of employment as a software developer
High School Diploma, Computer Science, 4.6, High School Diploma, Computer Science, 4.6 at NUS High School of Mathematics & Science
Bachelor's degree, Computer Science, 4.33, Bachelor's degree, Computer Science, 4.33 at National University of Singapore
Web-based adaptation of the dice minigame from Cult of the Lamb (2022)
Contributions:122 commits, 5 PRs, 189 pushes in 2 months
gameminigameweb-basedadaptationreactjs
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Wang Jiefan - Backend Software Engineer at ByteDance