Summary
Enikő Crăciun is a machine learning researcher with eight years of experience building high-performance ML and compiler tooling for edge hardware, from ARM NEON optimizations at Bosch to VPU compiler work at Intel. Based in Cluj-Napoca, she currently applies ML to assistive computer vision at dotLumen, developing wearable technology that mimics guide-dog benefits for blind users. Her background blends rigorous academic excellence (top GPAs in Bachelor’s and Master’s in Computer Science) with hands-on systems engineering in C++, SystemC, and modern ML stacks like PyTorch. Comfortable spanning low-level vectorization, compiler design (LLVM/MLIR concepts), and research-minded experimentation, she uniquely bridges neuroscience-inspired computing and graphics with production-grade performance engineering.
8 years of coding experience
5 years of employment as a software developer
High School, Biochemistry class, 10 of 10 (from 9th grade until 12th grade), High School, Biochemistry class, 10 of 10 (from 9th grade until 12th grade) at Nagy Mózes Elméleti Líceum
Master's degree, Computer Science - Data Analysis and Modelling, GPA 9.8 of 10, Master's degree, Computer Science - Data Analysis and Modelling, GPA 9.8 of 10 at Babeș-Bolyai University
English, Romanian, Hungarian, German