Duke Vijitbenjaronk
Research Engineer at Google DeepMind
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolDuke Vijitbenjaronk is a research engineer with 8 years of experience building and optimizing machine learning systems across industry-leading labs and startups, now at Google DeepMind after roles at Amazon, Adept, and Citadel Securities. He bridges research and production, from training state-of-the-art multimodal foundation models and RL agents to inference-time optimizations like quantization, distillation, and speculative decoding. His background as a reformed quant gives him deep expertise in low-latency systems and C++ optimizations for high-frequency trading alongside large-scale distributed training on Kubernetes, PyTorch, Spark, and GCP. Duke focuses on impactful domains—healthcare, computer vision, NLP, and computational biology—while advocating for open-source, robust, fair, and reliable ML. Known informally as a programmer and non-crypto miner and a Ripple enthusiast, he combines curiosity-driven engineering with practical deployment experience to push agentic and autonomous AI forward.
8 years of coding experience
8 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at University of Illinois Urbana-Champaign
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (4)
ledger7
xrp7
crypto6
ripple5
Programming languages (1)
Github contributions (4)
Duke67/xrptoolkit-nodejs
Oct 2017 - May 2020
A toolkit for safe and secure access to XRP ledger (Ripple Network)
Contributions:29 commits, 2 PRs, 28 pushes in 2 years 7 months
secureripple-networkxrp-ledgersecure-accesscrypto
Duke67/xrptoolkit-android
Oct 2017 - Nov 2017
Contributions:1 push, 1 branch in 10 days
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