Summary
Philip Fabianek is a full-stack web developer with a strong foundation in pure mathematics and nine years of engineering experience, now specializing in HPC and ML infrastructure while completing a Master's in AI/ML with a perfect GPA. He combines production-grade web development—building scalable, real-time, and high-availability systems using Django, React, and AWS—with low-level optimization work in CUDA, CUTLASS, Triton, and kernel engineering. Philip leads frontend efforts for complex integration platforms and has driven end-to-end features from node-based workflow UIs to backend APIs and recruitment for frontend teams. Soon joining NVIDIA DevTech to accelerate databases on GPUs, he brings a rare mix of deep theoretical training and practical performance engineering, with a current focus on vLLM and TensorRT for ML performance.
9 years of coding experience
2 years of employment as a software developer
Master's degree, Artificial intelligence and machine learning, 1.00 (Perfect GPA), Master's degree, Artificial intelligence and machine learning, 1.00 (Perfect GPA) at Masaryk University
Czech, English