Daniel Suess
AI Performance Team Lead at Canva
Sydney, New South Wales, Australia
Summary
👤
Senior🎓
Top SchoolDaniel Suess is an AI Performance Team Lead based in Sydney with 11 years of experience turning advanced machine learning research into production-grade computer vision systems. With a PhD in theoretical quantum physics and a background in mathematical physics, he blends deep theoretical intuition with practical engineering, having progressed from research roles to senior ML positions and principal data scientist before leading AI performance at Canva. He is skilled at optimizing model throughput and reliability in real-world products and is comfortable bridging research, data science, and software engineering teams. A problem-solver who jokingly sums up his approach as "matmuls all the way down," he brings both rigorous quantitative thinking and hands-on delivery to scaling AI systems.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD Theoretical Quantum Physics, Doctor of Philosophy - PhD Theoretical Quantum Physics at University of CologneMaster's degree Theoretical and Mathematical Physics, Master's degree Theoretical and Mathematical Physics at Technische Universität Dresden
German, English, French
Github Skills (187)
dependency-management10
python10
multidimensional-arrays10
mixnet10
deep-learning10
instance-segmentation10
gpu10
vision-transformer10
vispy10
faster-rcnn10
gpu-acceleration10
efficientnet10
glip10
distributed-training10
hydra10
Programming languages (12)
Github contributions (5)
dsuess/tensorboa.rs
Aug 2022 - Dec 2022
Contributions:27 commits, 33 pushes in 3 months
dsuess/mptikz
Dec 2017 - Nov 2022
LuaTeX extension for graphical tensor notation
Contributions:33 commits, 1 PR, 27 pushes in 4 years 11 months
tensormatrix-product-statesmatrix-productdmrgtensor-train
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