Benyi Gong is a software engineer with 12 years of experience building large-scale, revenue-driving systems across ML platforms, ad-serving, and high-throughput retail services. At Amazon he’s a core engineer for an internal ML platform powering LLM deployment and inference for 20+ models (1B–100B+), and previously led ad-serving initiatives across Fire TV, Prime Video, Echo Show that added millions in annual revenue. He built production-grade inference and eval tooling (vLLM-based engine, Ray multi-node scaling, and Rufus CI-triggered evaluations) and has a strong track record of designing end-to-end features from geo-targeting to campaign models. Earlier roles at Walmart Labs and in academic research show deep systems, performance tuning, and data engineering skills—designing a global store data system serving 100K+ TPS and boosting grocery revenue. Based in Sunnyvale, he mixes a lifelong learning mindset with selective gaming and a playful coding persona (class Benyi extends Monkeys implements Coder), bringing both curiosity and practical impact to complex engineering problems.
12 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.S.), Physics, Bachelor of Science (B.S.), Physics at Huazhong University of Science and Technology
Master of Engineering (M.Eng.), Computer Engineering, Master of Engineering (M.Eng.), Computer Engineering at University of Virginia
Contributions:38 commits, 9 pushes, 1 branch in 2 years 1 month
pythonscrapytwsespidertaiwan-stock-exchange
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