Konstantinos Krestenitis is a software engineer and HPC specialist with 11 years’ experience bridging research-grade computational mechanics and production software. He holds a PhD in High Performance Computing and has built and optimized parallel C++/Python codes for multiscale particle dynamics and seismology on national supercomputing resources. At Resourcematics he led data analytics, algorithm development and software architecture, and now applies that background to product-focused engineering at Beautiful Voice. His teaching roles in Java, embedded C/C++ and numerical Python reflect a talent for translating complex concepts into practical implementations. Comfortable with MPI/OpenMP/SIMD/TBB and end-to-end analytics pipelines, he combines deep performance tuning skills with hands-on product delivery. An understated strength is his ability to move between academic research, applied data science and collaborative software architecture with equal fluency.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD), High Performance Computing && Computational Mechanics, Doctor of Philosophy (PhD), High Performance Computing && Computational Mechanics at Durham University
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