Tao Tong
CTO And Chief AI at Auditoria.AI
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolTao Tong is a CTO and Chief AI officer based in the San Francisco Bay Area with nine years of focused experience building AI-native, enterprise-grade systems and leading cross-functional teams. He currently pioneers agentic AI and vertically integrated architectures for finance back-office automation at Auditoria.AI, having previously delivered scalable NLP and ML platforms at Punchh and quantitative ML strategies in finance at Sentient and BlackRock. Trained as a PhD nano-engineer with additional quantitative finance and engineering degrees, he blends deep research rigor with product-focused execution and a "whatever it takes" attitude. A prolific inventor and technical leader from his early LED and R&D roles through enterprise AI, he combines IP generation, hands-on model deployment into Kubernetes, and a proven track record of turning complex research into production software.
9 years of coding experience
4 years of employment as a software developer
PhD Nano-Engineering, PhD Nano-Engineering at University of California, BerkeleyBS Computer Science Mechanical Engineering, BS Computer Science Mechanical Engineering at University of Science and Technology of ChinaMFE Quantitative Finance and AI, MFE Quantitative Finance and AI at University of California, Berkeley, Haas School of BusinessMS Mechanical Engineering, MS Mechanical Engineering at Stony Brook University
Github Skills (28)
pii10
scraper10
extraction10
data-extraction10
crawler10
python9
crawling9
metadata9
quantitative-finance9
c-library9
cpp8
quantlib8
benchmark8
velocity6
benchmarking6
Programming languages (3)
Github contributions (5)
ttong1013/open
Feb 2018 - Mar 2018
Contributions:24 commits, 18 pushes, 1 branch in 9 days
ttong-ai/lstm-for-time-series
Feb 2018 - Mar 2018
Deep LSTM/GRU/RNN network for financial time series
Contributions:45 commits in 27 days
financialgrurnnrnn-grudeep-learning
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