Renaldas Zioma
Maker at Transcendent Logic
Sweden
Summary
👤
Senior🎓
Top SchoolRenaldas Zioma is a seasoned technology leader with 19 years of experience bridging real-time graphics, game engines, and cutting-edge neuromorphic hardware. He helped bring Unity to iOS, introduced Physically Based Rendering to Unity 5, and built a cross-platform neural network inference engine powering ML in simulation and games. Currently a Topic Leader at the Telluride Neuromorphic Workshop and active in tape-out projects, he pursues a mission of learning from biological systems to design tiny, efficient intelligent devices. He also mentors students in Computational Neuroscience and invests in open-source chip tooling, reflecting a rare blend of hands-on silicon, software, and neuroscience expertise. Notably, his background spans high-performance GPU coding, demo-scene wins, and shipped AAA game technology—skills he applies to compute-in-memory and ternarized NN chips. Based in Sweden, he pairs deep technical craftsmanship with product and organizational leadership across research and industry.
20 years of coding experience
10 years of employment as a software developer
BS, Computer Science, BS, Computer Science at Kaunas University of Technology. Neural Networks for Machine Learning by Geoffrey Hinton (University of Toronto) 91.8 (/w distinction)
. Medical Neuroscience by Dr. Leonard E. White (Duke University) 94.5
. Computational Neuroscience by Adrienne Fairhall, Rajesh P. N. Rao (University of Washington) 99.8
. Synapses, Neurons and Brains by Idan Segev (University Of Jerusalem) 93.7
. Advanced Neurobiology I, II (Peking University) 95.8, 98.4
. Machine Learning by Andrew Ng (Stanford University) 100.0
. Autonomous Navigation for Flying Robots by Jürgen Sturm (TU München) 99.0
. Exploring Neural Data by Monica Linden and David Sheinberg (Brown University) 96.9, . Neural Networks for Machine Learning by Geoffrey Hinton (University of Toronto) 91.8 (/w distinction)
. Medical Neuroscience by Dr. Leonard E. White (Duke University) 94.5
. Computational Neuroscience by Adrienne Fairhall, Rajesh P. N. Rao (University of Washington) 99.8
. Synapses, Neurons and Brains by Idan Segev (University Of Jerusalem) 93.7
. Advanced Neurobiology I, II (Peking University) 95.8, 98.4
. Machine Learning by Andrew Ng (Stanford University) 100.0
. Autonomous Navigation for Flying Robots by Jürgen Sturm (TU München) 99.0
. Exploring Neural Data by Monica Linden and David Sheinberg (Brown University) 96.9 at Coursera, edX (online education)
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (47)
verilog10
convolutional-neural-networks10
z8010
sega10
playstation-portable10
python10
retrocomputing10
demoscene10
playstation10
data-science9
sfx9
pytorch9
machine-learning9
windows9
cpu9
Programming languages (9)
Github contributions (5)
rejunity/tt10-lgn-mnist
Jan 2025 - Apr 2026
MNIST classification using Deep Differential Logic Networks for TinyTapeout 10
Contributions:1 PR, 155 pushes, 6 branches in 1 year 3 months
classificationmnist
rejunity/tiny-atari-2600
Sep 2024 - Dec 2025
Atari 2600 Open-source System-on-Chip (SoC)
Contributions:2 PRs, 129 pushes, 10 branches in 1 year 2 months
system-on-chipasicatari2600retroretrogaming
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