Summary
Nazerke Turtayeva is a PhD candidate and graduate student researcher at UC Santa Barbara with nine years of hands-on experience in hardware-software co-design, computer architecture, and applied ML. She combines academic research with industry experience through internships and research roles at Microsoft, Google/DeepMind, and the Barcelona Supercomputing Center, focusing on LLMs, confidential computing, and hardware acceleration. Her open-source work includes RISC-V CPU enhancements and a configurable L2 TLB for OpenPiton, demonstrating a rare ability to move from RTL verification to system-level integration. She has built practical ML and vision products—ranging from crop-weed classification to a consumer mobile app—and published work from early field-to-satellite data efforts. Comfortable across simulation tools (Verilator, Vivado, VCS) and system integration, she bridges low-level hardware design with high-level research problems. Based in Santa Barbara, she brings a multidisciplinary toolkit that blends FPGA/ASIC thinking with real-world ML deployment experience.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Computer Engineering with emphasis on Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering with emphasis on Computer Engineering at UC Santa Barbara
Physics-Math, Physics-Math at Назарбаев Интеллектуальные школы
Bachelor's degree, Electrical and Electronic Engineering, Bachelor's degree, Electrical and Electronic Engineering at Nazarbayev University