Mohamadย Binย Abdullah
Senior R&D Engineer at LottieFiles
Subang Jaya City Council, Selangor, Malaysia
Summary
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Top SchoolMohamad Bin Abdullah is a Senior R&D Engineer with over a decade of experience building and optimizing HPC and heterogeneous computing solutions across seismic imaging, finance risk systems, in-memory GPU databases, and generative AI. He combines deep C/C++/CUDA expertise with distributed systems knowledge (MPI, OpenMP, Kubernetes, Azure) to scale complex scientific algorithms on multi-GPU and many-core clusters processing terabytes of data. At LottieFiles he translated generative and CLIP-based vision models into practical vectorization and neural search products, while previous roles delivered production-grade ETL and streaming platforms for enterprise data lakes. His double major in Computer Science and Physics gives him a rare ability to bridge domain scientists and software engineers, turning research prototypes into commercialized tools and patents. Known for benchmarking new hardware and squeezing performance from heterogeneous stacks, he thrives on turning compute-bound research into efficient, deployable systems.
10 years of coding experience
6 years of employment as a software developer
Master of Science (M.Sc.) Computer Science, Master of Science (M.Sc.) Computer Science at Universiti Sains Malaysia
English, Malay
Github Skills (51)
lottie10
lottie-animation10
schema10
console9
capi9
windows9
command-line9
documentation9
windows-terminal8
cmd8
assembly8
windows-console7
swift6
csv6
cpp6
Programming languages (8)
Github contributions (5)
AmirulOm/tensorflow_capi_sample
Jan 2020 - Jan 2023
Sample code to call C API for Tensorflow 2.1
Contributions:7 commits, 11 pushes, 1 branch in 3 years
capitensorflow
erynafellah/erynafellah.github.io
Feb 2021 - Mar 2021
Contributions:12 pushes, 1 branch in 1 month
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