Loren Fiore
Lead Research Engineer at Jump Trading Group
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolLoren Fiore is a Lead Research Engineer based in London with nearly two decades of experience building and scaling machine learning, computer vision, graphics/GPU, and distributed big‑data systems. He has led and grown research‑infra teams at quantitative firms and tech giants—driving production ML across OCaml, Python, C++, and mobile platforms while expanding compute clusters 10x and shipping features that resulted in multiple patents. A hands‑on manager and mentor, he prioritizes developer experience and career growth while bridging research and production through composable frameworks and real‑time feature pipelines. His background spans academia (PhD) to industry, with published papers and six-plus patents that reflect a persistent curiosity for novel solutions. Notably, he contributes to high‑quality open source work such as improving KataGo’s build and Eigen ConvLayer implementations, highlighting attention to cross‑platform robustness and numerical performance.
11 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at University of Minnesota
Github Skills (9)
build-system10
c-language10
cmake10
cprogramming-language10
macos9
eigen9
header-files9
convolutional-neural-networks8
neural-network8
Programming languages (1)
Github contributions (5)
lightvector/KataGo
Apr 2019 - Jul 2020
GTP engine and self-play learning in Go
Role in this project:
Backend Developer
Backend DeveloperContributions:8 commits, 3 PRs, 4 pushes in 1 year 2 months
Contributions summary:Loren's primary contributions focused on fixing compilation issues on macOS, specifically related to the build process using clang, cmake, and homebrew. They updated the `strict_fstream.hpp` file's error handling logic. Furthermore, the user reorganized header files to ensure they could compile independently and removed "using namespace" aliases. Additionally, the user added a prototype Eigen3 ConvLayer and added BatchNormLayer and addressed and improved the Eigen ConvLayer implementation.
go
lpuchallafiore/KataGo
Apr 2019 - Jun 2019
GTP engine and self-play learning in Go
Contributions:7 pushes, 4 branches in 1 month
golanggtpself-play
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