Patrick Neary

About Patrick Neary

Applied ML/AI Researcher at SandboxAQ. I\'m focused on applied research in quantum-based technology domains. I lead a team that includes a data engineer, physicist, two ML engineers, and an AI resident. I also lead our IP/patent efforts. Current tools I actively use include PyTorch, and standard ML Python-based packages. I have 20 years of combined experience performing applied machine learning research, developing embedded software, user interfaces, and algorithms. I\'ve worked with CNNs, ANNs, LSTMs, autoencoders, and a variety of customized architectures applied to time series, image, and video domains. I\'ve written everything from low-level drivers for microcontroller buses to implementing communication protocols between airborne sensors and ground systems. Skilled in Python, PyTorch, TensorFlow, convolutional neural networks, deep neural networks, machine learning, embedded software, VxWorks, C, C++, C#, Git, and Jira. Strong engineering professional with a PhD in Computer Science, focused on machine learning.#machinelearning #deeplearning #computervision

Experience

1. Applied Ai Ml Researcher

   SandboxAQ

   Jun 2022 — Present · US

   Applied AI/ML Researcher applying state of the art methods to novel applications in Quantum-based products. I lead a team that includes a physicist, ML engineers, a data engineer, and an AI resident. I lead our sprint cycle, work with my direct reports to help them grow and strive to create an open, collaborative environment. I also lead the IP/patent efforts for our team.

Education

• Utah State University

  Master's degree, Electrical and Electronics Engineering

  1999 — 2006

• Utah State University

  Doctor of Philosophy - PhD, Computer Science

  2014 — 2020