Kory Watson
Hi! My name is Kory Watson. I'm an engineer that specializes in machine learning and computer vision projects.
I'm a Machine Learning Engineer at Apple. We're building a compiler and runtime for blazing-fast on-device model inference and training.
For inquiries or to otherwise get in contact, shoot me an email at [email protected]. Thanks!
Experience
| Apple | Neural Network Inference | Machine Learning Engineer | January 2020 - Current |
Internship Experience
| Apple | Applied ML Research | Machine Learning Engineer Intern, Vision | 2019 |
| Apple | Applied ML Research | Software / Machine Learning Engineer Intern, Vision | 2018 |
| Cloud Billing | Software Engineer Intern | 2017 | |
| Microsoft | SQL Server | Software Engineer Intern | 2016 |
| UW School of Nursing | MPOWER Group | Software Engineer | 2016 |
| Blue Origin | Avionics | Software Engineer Intern | 2015 |
| Boeing | P8 Program | Software Engineer Intern | 2014 |
| SeaTec Consulting | Airborne Wifi | Lead Software Engineer Intern | 2014 |
Teaching (TA)
| CSE 401 | Intro to Compiler Construction | Abstract Syntax Trees, Finite State Machines, Grammars, x86 Assembly, IRs, etc. | Fall 2019 |
| CSE 333 | Systems Programming | C and C++ Intro, Berkeley Networking API | Spring 2019 |
| CSE 351 | The Hardware/Software Interface | x86 Assembly, Computer Architecture, Caching, Virtual Memory, Memory Allocation | Autumn 2018, Winter 2019 |
Research
| UW MODE Lab | MODE: Machine Learning, Optimisation, Distributed Systems, (E) Statistics | MNIST VAE (Variational Autoencoder) work | Winter 2018 |
Education
University of WashingtonComputer Engineering, GPA 3.80