Ben Vo is an applied scientist with a PhD in Computer Science and a decade of experience building large-scale ML and NLP systems, now applying LLMs and RAG at Amazon in the San Francisco Bay Area. He has driven measurable business impact—deploying student models distilled from LLMs and semantic ranking features that produced statistically significant relevance and engagement gains and multimillion-dollar revenue influence at Walmart Search. His research background includes EMNLP, SIGIR and EACL papers on multimodal neural search, fact-checking, and fake-news detection, bridging top-tier academic rigor with production engineering. Comfortable across Python/PyTorch and production pipelines, he blends deep algorithmic knowledge with pragmatic A/B-tested delivery. Colleagues value his persistence and resilience; less obvious is his knack for translating complex research (e.g., knowledge distillation) into team-wide frameworks that accelerate adoption.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Utah State University
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Worcester Polytechnic Institute
This is the official repository of Pytorch code and datasets of the paper "Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News", EMNLP 2020.
Contributions:1 release, 41 commits, 2 PRs in 2 years 2 months
Contributions:1 release, 29 commits, 24 pushes in 1 year 1 month
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