Kelly Shi
Senior Recruiter at Google
Singapore
Summary
🤩
Rockstar🎓
Top SchoolKelly Shi is a seasoned recruitment leader with seven years of experience at Google in Singapore, currently serving as a Senior Recruiter after roles as Recruiting Manager and HRBP. She brings deep expertise in talent acquisition for technical and leadership roles, shaped by international exposure including a research exchange in London. Kelly’s background in finance and rotations across banking and HR functions gives her a pragmatic, data-informed approach to hiring and workforce strategy. Unusually for a recruiter, she has hands-on machine learning engineering contributions—having implemented and open-sourced the Latent Programmer model used in ICML2021—demonstrating technical fluency that helps bridge recruiter-engineer conversations. Known for scaling hiring programs within complex organizations, she combines analytical rigor with a collaborative, candidate-centric focus. Based in Singapore, she leverages cross-cultural experience to attract top global talent for high-impact roles.
7 years of coding experience
1 year of employment as a software developer
junior middle school, junior middle school at 河北师大附中A Level Economics Mathematics Physics Chemistry, A Level Economics Mathematics Physics Chemistry at Hwa Chong Junior College, SingaporeO Level, O Level at Anglican High School, SingaporeBachelor of Business Administration (Honours) Major in Finance, Bachelor of Business Administration (Honours) Major in Finance at National University of Singapore
Github Skills (5)
beam-search10
machine-learning10
python10
jax9
flax8
Programming languages (3)
Github contributions (5)
google-research/google-research
Aug 2021 - Jan 2023
Google Research
Role in this project:
ML Engineer
ML EngineerContributions:7 reviews, 40 commits, 8 comments in 1 year 5 months
Contributions summary:Kelly implemented and open-sourced the Latent Programmer model, which was published at ICML2021. Their work involved writing Python code, modifying files related to latent_programmer, and implementing beam search for inference. The changes included code for decoding programs and training related modules. The commits indicate expertise in machine learning research, specifically in the domain of program synthesis.
googlemachine-learningai
kensens/FrAngel
Aug 2018 - Mar 2019
Contributions:7 commits, 4 pushes, 1 branch in 7 months
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