David Qian
Software Engineer, Recommendation Systems (TL)
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolDavid Qian is a software engineer specializing in recommendation systems with six years of experience building distributed retrieval and ranking infrastructure at Meta. He focuses on indexing services, RAG pipelines, retrieval modeling, GPU-accelerated inference, and system–ML co-design to deliver low-latency, high-throughput recommender components. His background includes ML infrastructure and anomaly detection roles at Airbnb and Facebook, giving him a strong operational lens for production ML. Based in New York and trained at the University of Waterloo, he blends rigorous engineering fundamentals with pragmatic system design. Notably, he pairs model-aware algorithm work with systems optimization, enabling tighter integration between retrieval models and the serving stack.
6 years of coding experience
1 year of employment as a software developer
IB Diploma, IB Diploma at International BaccalaureateBachelor of Software Engineering (BSE), Bachelor of Software Engineering (BSE) at University of Waterloo
English, French, Chinese
Github Skills (34)
transformers10
language-model10
whisper10
stable-diffusion10
llm10
audio10
sdk10
asr10
edge-computing10
benchmark5
pytorch4
nodes4
agent3
onnxruntime3
openvino2
Programming languages (5)
Github contributions (5)
Davidqian123/David-s-home
Mar 2020 - Dec 2022
Contributions:1 push, 1 branch in 2 years 10 months
NexaAI/bark.cpp
Oct 2024 - Jan 2025
Fork of Suno AI's Bark model in C/C++
Contributions:1 review, 2 PRs, 4 pushes in 3 months
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