Bandit ML
Bandit ML builds machine learning tools for e-commerce companies.
What they do
E-commerce companies need better ways to apply machine learning to improve their operations and outcomes.
It provides machine learning tools and technology tailored for e-commerce businesses.
E-commerce companies and their data/product teams use it to build and deploy ML capabilities.
Founders
Ex senior machine learning engineer at Facebook AI and Uber. Ex-founder of Bandit ML (S20) which was acquired in 2022.
After designing a low-level fault-tolerant and space-hardened communication bus for plug-n-play experimentation on CubeSats, I cut my chops at Uber from 2014 to 2020. I built technology that indexed global geospatial data with minimal cell distortion in real-time for dynamic pricing. I designed and built a business-agnostic platform that reduced the time to launch a new line of business (e.g. UberElevate) from months to days.
Formerly CTO @ Bandit ML, a machine learning API that makes decisions to optimize for long term metrics (e.g. ecommerce product recs that increase LTV). I'm a former tech lead at Twitter, where I built internal analytics services and supported ML engineers. Before that, I was an early engineer at tenXer, an engineering analytics startup that got acquired by Twitter.
Company timeline
- Founded2019
- YC batchSummer 2020
- StatusAcquired
- Team size4 people
- LocationSan Francisco, CA, USA; Remote
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