Leslie Wenbo
Software Engineer II at The Trade Desk
Singapore
Summary
👤
Senior🎓
Top SchoolLeslie Wenbo is a software engineer with eight years of experience building large-scale distributed systems, currently focused on programmatic advertising at The Trade Desk. With a background in electrical engineering and a master’s in computer science, Leslie has designed high-throughput bidding infrastructures, Flink data pipelines, and real-time ad ranking and recommendation systems at Shopee. He combines low-level hardware experience—designing a CNN accelerator on FPGA—with production-grade cloud services, giving him a rare cross-stack fluency from silicon to distributed services. Known for owning RTB systems and mentoring teams, he brings both algorithmic pragmatism and data-driven iteration to performance-sensitive systems. Based in Singapore, he favors measurable improvements—budget-constrained A/B frameworks and optimized bidding strategies—that directly impact advertiser ROI.
8 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree, Electrical and Electronic Engineering, CGPA 4.81 (Honours with highest distinction), Bachelor’s Degree, Electrical and Electronic Engineering, CGPA 4.81 (Honours with highest distinction) at Nanyang Technological Universityexchange, Electrical and Electronics Engineering, N.A., exchange, Electrical and Electronics Engineering, N.A. at EPFL (École polytechnique fédérale de Lausanne)Master's degree, Computer Science, Master's degree, Computer Science at National University of Singapore
English, Chinese
Github Skills (26)
python10
data-science10
machine-learning10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
neural-network10
python-bindings8
re-identification8
raii6
convolutional-neural-networks6
cpp5
object-detection5
translate5
Programming languages (2)
Github contributions (5)
Lancerchiang/6.824
Mar 2020 - May 2020
Contributions:3 pushes, 1 branch in 2 months
Lancerchiang/capiq_crawler
Jan 2019 - Jan 2019
This Selenium crawler extracts data from Capital IQ using the Screening function and the Report Builder function in the .xls format
Contributions:1 push in 1 day
xlsscreeningselenium-crawlerreportextracts-data
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