Wei Dai
RWA Solutions at Stealth
Washington DC-Baltimore Area United States
Summary
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Rockstar🎓
Top SchoolWei Dai is a finance-focused RWA (real-world assets) strategist and solutions lead with seven years of cross-disciplinary experience at the intersection of capital markets, structured finance, and web3 go-to-market. He has moved between top-tier institutions and startups—from Freddie Mac and Bank of China to McKinsey and Chainlink Labs—building expertise in securitization, structured transactions, and RWA GTM strategy while now leading RWA solutions at a stealth venture. Trained in finance and accounting with quantitative foundations (Johns Hopkins, Wichita State), Wei also brings applied machine learning and AI infrastructure understanding from his GitHub profile, enabling him to translate technical tooling into pragmatic financial products. He combines corporate banking rigor and consulting-level productization skills with entrepreneurial experience founding a telemedicine startup, making him adept at launching regulated, commercially viable asset products.
7 years of coding experience
8 years of employment as a software developer
Johns Hopkins UniversityGraduate Study, Investor Relations, Graduate Study, Investor Relations at Fordham UniversityBachelor of Business Administration, Double Degree in Finance and Accounting, Minor in Math, Bachelor of Business Administration, Double Degree in Finance and Accounting, Minor in Math at Wichita State University
Chinese, English
Github Skills (18)
pytorch10
deep-learning10
xla10
k8s10
modular9
distributed-training9
distributed-computing9
machine-learning9
compiler9
distributed-systems8
tpu8
kubernetes8
mlops7
ray5
multiprocessing5
Programming languages (2)
Github contributions (5)
intelligent-machine-learning/torch_xla
Aug 2023 - Mar 2024
Enabling PyTorch on XLA Devices (e.g. Google TPU)
Contributions:2 reviews, 20 PRs, 88 pushes in 6 months
wbmc/SigmaStart
Mar 2019 - Mar 2020
Contributions:3 pushes, 1 branch in 1 year
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