Maggie Jieyi Ma
San Francisco, California, United States
3K followers
500+ connections
Experience
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Education
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University of California, Davis
STEM certified
- Machine Learning (ML), Big Data Management, SQL, AWS Cloud Computing, Lasso, ARIMA, AI -
Provost's list 2016 (1.5%), Outstanding Graduate (top 5%), Dean's list 2015 (10%)
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Honors & Awards
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Outstanding Graduate
University of Nottingham
Top 5% of the total graduates of the year
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Provost’s Scholarship
University of Nottingham
Top 1.5% for Academic Excellence
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Chinese Government Scholarship
China Scholarship Council
Top 1%, amounting to a full scholarship worth $8k
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Dean’s Scholarship
University of Nottingham
Top 10% for Academic Excellence
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Today, we’re launching Substrate. We’re also announcing our $8M Series Seed led by Lightspeed. We believe the most robust, reliable, and productive uses of AI are when many models are used in coordination with each other, with regular programming mixed in. Most people building with AI already know this. But the available tools are suboptimal, unless you work for Google. For the rest of us, we’re left creating an unwieldy mess of chained API calls to multiple providers, with many roundtrips in between. We took a hard look at this state of affairs, and recognized how much it is stifling progress. Building large multi-step AI workloads requires sophisticated high-performance tooling and infrastructure. Nobody wants to deal with more tooling and infrastructure… but everyone would benefit from simple, intuitive interfaces that abstract away a powerful system underneath. No tooling, no infrastructure – just elegant abstractions.
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