Luke De Oliveira
Head Of Artificial Intelligence at Rokos Capital Management
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolLuke De Oliveira is a Head of Artificial Intelligence with 12 years of experience building and scaling production AI across finance and consumer products, currently leading AI at Rokos Capital Management in London. He has driven high-impact ML initiatives at Meta (Llama distillation, pruning, and inference), Twilio (founder-acquired Vai Technologies and Voice Intelligence), and in research roles at Berkeley Lab, CERN, and SLAC, bridging cutting-edge research with product delivery. Equally comfortable shipping infrastructure and model innovations, he has contributed directly to Keras core code—adding robustness and advanced layers—showing hands-on fluency with deep learning frameworks. His background combines an MS in Computational and Applied Mathematics from Stanford and a BS from Yale with applied economics and ML, enabling a pragmatic approach to complex modeling and systems. Known for turning research into production features, he repeatedly delivers efficiency and accuracy improvements for large-scale language and physics-simulation models. An entrepreneur at heart, he pairs leadership across NAMER/EMEA teams with a track record of founding and integrating AI products into global platforms.
12 years of coding experience
11 years of employment as a software developer
Bachelor of Science (B.S.) Applied Mathematics concentrations in Economics & Machine Learning, Bachelor of Science (B.S.) Applied Mathematics concentrations in Economics & Machine Learning at Yale UniversityMaster of Science (M.S.) Computational and Applied Mathematics, Master of Science (M.S.) Computational and Applied Mathematics at Stanford University
French, English
Github Skills (6)
neural-network10
keras10
machine-learning10
deep-learning10
tensorflow10
python10
Programming languages (6)
Github contributions (5)
keras-team/keras
May 2015 - Aug 2017
Deep Learning for humans
Role in this project:
ML Engineer
ML EngineerContributions:15 commits, 11 PRs, 83 comments in 2 years 3 months
Contributions summary:Luke primarily focused on modifying the `keras/models.py` file to handle keyboard interrupts during training and incorporated features. They also made changes to `keras/layers/core.py`, and integrated `MaxoutDense` layer. The user further merged and updated core files, including code associated with highway networks and an example for an ACGAN using MNIST data. This indicates a focus on model development and feature enhancements within the Keras deep learning framework.
pythondata-sciencedeep-learningneural-networksmachine-learning
lukedeo/torch-serving
Aug 2019 - Oct 2020
Contributions:1 release, 42 commits, 39 pushes in 1 year 2 months
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