Summary
Mohamad 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