Junda Zhang
Staff Engineer at Together AI
Singapore
Summary
🤩
Rockstar🎓
Top SchoolJunda Zhang is a Staff Engineer based in Singapore with 11 years of experience building and optimizing large-scale ML infrastructure and training systems. He led training frameworks and hands-on model runs at TikTok, operating fleets of thousands of GPUs across LLM, VLM and video-generation projects and contributing to papers like ByteCheckpoint and Seaweed. Prior roles at YITU and TikTok’s AI labs focused on GPU cluster setup, distributed training optimization, and fast data services, reflecting deep systems and MLops expertise. Currently at Together AI he’s hiring experienced LLM inference engineers, signaling a shift toward production-grade inference and serving. Junda combines practical systems engineering with research-driven results, often bridging low-level cluster orchestration and cutting-edge model training. His background—MEng from NUS and large-scale production experience—makes him adept at translating research prototypes into reliable, high-throughput deployments.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at Huazhong University of Science and TechnologyMaster of Engineering - MEng Computer Science, Master of Engineering - MEng Computer Science at National University of Singapore
Github Skills (78)
python10
deep-learning10
gpu10
numpy10
falcon10
neural-network10
tensorflow10
baidu10
machine-learning10
pytorch-lightning10
temporal-data10
ml9
acceleration9
tensor9
scientific-computing9
Programming languages (8)
Github contributions (5)
AHEADer/bs
Dec 2015 - Nov 2016
Contributions:164 pushes in 11 months
AHEADer/scheduler
Jul 2019 - Oct 2019
Contributions:77 commits, 75 pushes, 1 branch in 3 months
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