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bin liu

@binliu1

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Machine Learning Engineer specializing in advertising algorithms and systems.

China

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What I'm looking for

I am seeking a role that allows me to innovate in machine learning and advertising technology, with opportunities for growth and collaboration.

I am a Machine Learning Engineer with a strong background in developing and optimizing advertising algorithms and systems. My experience includes leveraging data-driven insights to enhance campaign performance, increase ROI, and improve user experience. I hold a Master of Science in Electrical Engineering from the State University of New York at Buffalo and a Bachelor of Engineering in Information Engineering from Shanghai Jiao Tong University.

At SmartNews, I designed and implemented a budget allocation strategy for US market advertising campaigns, achieving a 95% budget achievement rate through real-time optimization. Additionally, I developed a dynamic adjustment system that improved advertiser retention by over 10%. My previous role at Qihoo involved creating an oCPC product which had been widely used by advertisers and occupied 50% daily spending of the display ads platform before I left.

Throughout my career, I have consistently focused on innovation and efficiency, utilizing advanced techniques such as deep learning architectures to optimize advertising strategies. I am passionate about using my machine learning knowledge to drive impactful results.

Experience

Work history, roles, and key accomplishments

Algorithm Engineer

SmartNews

Oct 2021 - Oct 2024 (3 years)

Designed and implemented a budget allocation strategy for US market advertising campaigns, adapting to different time zones to ensure smooth budget consumption. Developed a minute-level bidding strategy based on PID controllers, achieving real-time optimization of ad delivery, resulting in a 95% budget achievement rate.

PID Controller Optimization

Algorithm Engineer

Qihoo

Mar 2016 - Oct 2021 (5 years 7 months)

Developed a traffic quality estimation system for advertisers with incomplete conversion data by analyzing shallow post-click behavior data. Employed a lightweight logistic regression model to predict shallow behavioral conversion rates, meeting the strict latency requirements of the ad serving system.

Traffic Quality Estimation Logistic Regression Deep Learning Knowledge Distillation

Backend Engineer

Mediav

Nov 2014 - Mar 2016 (1 year 4 months)

Reconstructed the Ad Commodity Backend Management System using Kafka message queues to build a real-time commodity update log consumption system. Combined with HDFS/MapReduce to build offline data processing flows, increasing system processing capacity from hundreds of thousands to tens of millions per day.

Kafka HDFS MapReduce Backend Development Data Processing

Education

Degrees, certifications, and relevant coursework

State University of New York at Buffalo

Master of Science, Electrical Engineering

Completed a Master of Science in Electrical Engineering. Focused on advanced topics within the field, preparing for a career in engineering.

Shanghai Jiao Tong University

Bachelor of Engineering, Information Engineering

Obtained a Bachelor of Engineering in Information Engineering. Gained foundational knowledge and practical skills in information systems and engineering principles.