Luke de Oliveira

Present

I'm currently working on scaling the machine learning engineering organization and AI platform at Twilio.

I was most recently CEO & founder at Vai Technologies, which was acquired by Twilio.

I am also a visiting researcher at Lawrence Berkeley National Laboratory (LBNL) where I work on generative modeling in the natural sciences. You can find out more on my Google Scholar.

In addition, I serve as an advisor at Holloway and The Hive‍.

Past

I've held positions at Enlitic, SLAC National Accelerator Laboratory, and the European Organization for Nuclear Research (CERN), where I was part of the ATLAS collaboration. Further back, I was a graduate student at the Stanford Institute for Computational and Mathematical Engineering (ICME), and earned my undergraduate degree in Applied Mathematics at Yale.

A more detailed list can be found in my curriculum vitae.

Organizational services

We help you determine the organization infrastructure necessary to build your products.

SERVICES one

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SERVICES two

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Interests.

A subset of things I like to build, tinker with, and research

Deep Learning

I design novel deep architectures, particularly for NLP and sometime CV. I'm interested in end-to-end learning from characters. I also like thinking about cloud deployment strategies for DL. I like Keras, but sometimes I pretend I understand TF.

Recommender Systems

I spend a lot of time thinking about how to make recommender systems better. I've been experimenting with some end-to-end approaches, but I mostly spend time automating subsets of the collaborative + content driven pipeline

Infrastructure

Machine learning is great in a vacuum, but it looses real-world oomf when your brilliant models are confined to an Jupyter Notebook. I use Docker + Vagrant for my deployments.

Predictive Analytics

More generically, we extract insights from data that you've collected. Even if you don't have a specific goal in mind, we can help you find insights you never knew were there.

LDO

AI, system design, & language understanding.