Eduardo Barthel
Senior Software Engineer at Cartesi
Paraná, Brazil
Summary
🤩
Rockstar🎓
Top SchoolEduardo Barthel is a senior software engineer with 17 years of experience specializing in high-performance systems for gaming and blockchain, currently optimizing the RISC-V Cartesi Machine at Cartesi. He built and led game engine development for MMORPGs, shipping cross-platform graphics backends, shader systems, spatial audio, and Lua scripting while consulting on deep debugging and server optimization. Comfortable working close to bare metal, he has a track record of extracting 10x interpreter performance gains and implementing software FPU support for RV64GC Linux emulation. An active open-source author, he created the Nelua language and has contributed performance and platform-compatibility fixes to prominent projects like Nim and libgit2 and to tensor and graphics libraries. He blends systems programming (C/C++, assembly, RISC-V) with applied deep learning techniques (e.g., super-resolution for game assets), proving adept at both low-level optimization and algorithmic innovation. Based in Paraná, Brazil, he is a self-directed learner who continually explores compilers, emulation and novel CS concepts to push hardware limits.
17 years of coding experience
10 years of employment as a software developer
Bacharelado, Engenharia Eletrônica, Bacharelado, Engenharia Eletrônica at Universidade Federal de Santa CatarinaDeep Learning Specialization, Computer Science, Deep Learning Specialization, Computer Science at DeepLearning.AI
Portuguese, English
Github Skills (44)
asynchronous10
nim-lang10
git10
multiplatform10
operation10
wp-api10
async10
multidimensional-arrays10
broadcasting10
tensorrt10
cross-platform10
c1110
winapi10
c1710
automatic-differentiation10
Programming languages (23)
Github contributions (5)
mratsim/Arraymancer
Sep 2017 - Oct 2017
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
Role in this project:
Back-end Developer
Back-end DeveloperContributions:26 commits, 33 PRs, 45 comments in 1 month
Contributions summary:Eduardo implemented several core features for the tensor library, focusing on element-wise operations and mathematical functions. They added functionalities such as broadcasting, element-wise negative and division, and in-place scalar operations. Furthermore, the user optimized iterators and higher-order functions, contributing to performance improvements. Finally, the user added mathematical functions such as abs and stack, along with associated tests.
ndarrayautomatic-differentiationtensor-librarytensorgpgpu
floooh/sokol
May 2020 - Nov 2021
minimal cross-platform standalone C headers
Role in this project:Back-end Developer
Back-end DeveloperContributions:9 commits, 12 PRs, 27 comments in 1 year 6 months
Contributions summary:Eduardo primarily focused on enhancing the `sokol` library's features and improving code quality. They added image width and height information to the `sg_image_info` structure and fixed compiler warnings. Moreover, the user optimized GL backend calls and D3D11 code paths, and also addressed warnings related to the MinGW-w64 toolchain. Furthermore, they cached active textures and the current program in the GL backend.
source-portwindowslinuxopengl3standalone
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