Summary
Akif Özkan is an R&D Lead Software Engineer with a decade of experience bridging research and production in high-performance digital design and synthesis. Currently on the core Genus technology-mapping team at Cadence, he specializes in multi-objective optimization of massive logic graphs in C++ with deep understanding of VLSI constraints. His background spans academic research—PhD-level work and research roles at Max Planck and FAU—on DSLs and FPGA/GPU implementations for computer vision, giving him uncommon breadth across hardware-aware software and algorithm design. Based in Feldkirchen, Germany, he combines rigorous research instincts with hands-on engineering to turn formal methods into scalable tooling for chip design. An avid learner by motto, he often operates at the intersection of compilers, synthesis, and hardware, translating theoretical ideas into production-grade optimizations.
10 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Engineering, Doctor of Philosophy (Ph.D.), Computer Engineering at University of Erlangen-Nuremberg
Exchange Student, Electrical Engineering (ESAT), Exchange Student, Electrical Engineering (ESAT) at Katholieke Universiteit Leuven
Master of Science (M.Sc.), Electronics Engineering, Master of Science (M.Sc.), Electronics Engineering at Istanbul Technical University