Summary
Shengtong Zhang is a Senior Software Engineer with 10 years of experience building large-scale ML and ad-serving platforms across Pinterest, Meta, Microsoft, Nextdoor, and Comcast. He blends deep backend systems expertise (Java, Python, Kotlin, .NET/C#) with applied ML techniques—having led projects that used RAG, advanced prompt engineering, and embeddings to improve AI-generated educational content and tuned auction systems that drove hundreds of millions in annual revenue. At Meta he architected unified auction and dynamic pricing frameworks that materially improved ad quality and profitability, and at Microsoft he operationalized LLM-driven content pipelines with rigorous evaluation and retrieval strategies. Comfortable moving between research-driven tooling and production-grade distributed systems, he holds a Master’s in Computer Science from Columbia and an undergrad from Tsinghua—bringing both academic rigor and a track record of shipping measurable business impact. An understated strength is his ability to translate complex ML/algorithmic improvements into concrete product safeguards (e.g., billing protections and price floors) that preserve revenue and user trust.
10 years of coding experience
8 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at Columbia University
Bachelor of Science - BS Electrical and Electronics Engineering, Bachelor of Science - BS Electrical and Electronics Engineering at Tsinghua University
Chinese, English