Summary
Gorker Malazgirt is a Staff Software Engineer with over a decade of experience bridging AI algorithms and hardware to build latency-sensitive, high-performance systems. He holds a Ph.D. in computer architecture and specializes in hardware-software co-design, FPGA-accelerated analytics, and deploying deep reinforcement learning (including MARL and DreamerV3/JEPA) in production. His background spans research at Barcelona Supercomputing Center and Boğaziçi University to industry roles delivering embedded systems, data science platforms for sports, and pricing and forecasting models for BAT. Known for optimizing the full stack—from VHDL/SystemVerilog and C++ accelerator interfaces to PyTorch and PySpark pipelines—he also applies operations research heuristics (TSP, evolutionary algorithms) to practical problems. Comfortable leading technical strategy, he thrives in roles that require translating theoretical research into deployable systems across remote/EMEA contexts.
13 years of coding experience
12 years of employment as a software developer
Bachelor's degree, Microelectronics Engineering, Bachelor's degree, Microelectronics Engineering at Sabanci University
Master's degree, Systems on Chip Design, Master's degree, Systems on Chip Design at Lund University
UPC Universitat Politècnica de Catalunya
Doctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at Boğaziçi University
English, Turkish, Spanish, Swedish