Experienced C++ programmer, AI/ML developer and HPC developer.
Have been using C++ as my primary programming lanuguae for 12 years. Now I follow the latest standards and even technical drafts to write expressive, high performing programs.
Developed libraries that takes advantage of OpenCL to run on the GPU for performance gain. I also have experience with OpenCL on FPGAs.
Using CERN's ROOT data analysis framework (Written and scripted in C++) for AI and data science. Allowing the to handling of large datasets on disk but with less performance loss. And seamless inter-op between C++ and Python.
Have been a daily Linux user for 10 years and maintained few research servers.
Now using Arch Linux as my daily driver.
Uses Python and Keras/PyTorch for AI development.
I have developed my own physically based path tracer from scratch with support for PBRTv2 scene format, Intel Embree, HDR, etc...
Written a simple rendering engine using C++ and OpenGL. Shaded using GLSL.
git, Lua, ffmpeg, open source dev, push random fixes, written Gnome extensions, those stuff...
As you may guessed. I'm not bad at English! Learning and speaking English since 4 years old.
TOEIC - 810 (few years ago)
Esperanto estas la lingvo de la mondo. Kaj mi paroras Esperanton. Ne multe da homoj paroran gxin. Tamen mi amas Esperanton.
KER - A2 (mi pensas)
I love games yet why movies look better - An introduction to real time graphics and path tracing.
Introduction to GPU computing with OpenCL - video - Introduction to Parallel computing and OpenCL.
Building NumPy from scratch - detailing how NDArrays work and how you can build one
Machine Learning library based on HTM theory. Written in C++ and OpenCL.
Currently the fastest HTM implementation available.
The world's first port of Intel Embree high-performance ray tracing kernel to run on ARM processors with NEON.
Featured in Ingo Weld's (Embree's author's) blog: https://ingowald.blog/2018/07/15/cfi-embree-on-arm-power/
A day 1 port of AMD's MIOpen - GPU NN acceleration - library to run on NVIDIA and Intel's GPU.
A minimal and fast HTM implementation in C++. Using C++17, xtensor, OpenMP.
Converts models (obj, stl, etc...) files into PBRTv2 scene description files. With texture and material support.
A implementation of Numenta's neuron boosting and inhibition algorithm in the tiny-dnn framework.
Realtime graphics engine in C++ and OpenGL.
Generating Esperanto text using Hierarchical Temporal Memory.
Detects object trajectory anomaly using Hierarchical Temporal Memory.
A general academic DNN accelerator using OpenCL on an Altera Cyclone V FPGA. Accelerating im2col and GEMM operations. Using up 95% FPGA area, 12x faster than the 2 on-chip ARM A9 cores.
A research project to find access anomalies of highly confidential files. Using Python, Neural Networks and CERN ROOT.
Produced some music on Linux using free/libre software only. Using Ardur, JACK, Calf Studio, LMMS and Audacity.
Helps the development of the Librem 5 Linux phone. Developing Wayland compositor and shell.
Develops applications and framework using Numenta's HTM algorithm and engages with other members to discuss, develop the HTM theory itself.