Stephanie Pavlick

Stephanie Pavlick has extensive experience in various roles and companies.

Stephanie is currently working as a Machine Learning Engineer at Qeexo, where they write code for AutoML tools and contributes to the web portal. Stephanie'sresponsibilities include research and development of machine learning models.

Prior to that, Stephanie worked as a Robotics Software Engineer II at Smith & Nephew, focusing on developing applications for robotic knee surgery. Stephanie was also involved in multibody Biomechanics modeling.

Stephanie has also worked as a Graduate Research Assistant at the Massachusetts Institute of Technology (MIT). Stephanie developed machine learning pipelines for risk stratification of patients who had experienced Acute Coronary Syndrome. Stephanie also served as a teaching assistant for the Signals and Systems course at MIT.

Stephanie gained experience as a Hardware Development Engineering Intern at Amazon, where they worked on hardware development projects. Stephanie also worked as a Research Assistant and Lab Assistant at MIT, where they were involved in projects related to machine learning and electronic circuits.

Additionally, Stephanie worked as an Electrical Engineering Intern at Cascodium, where they developed a PCB with SoC from scratch using Altium software. Stephanie also interned as a Communications Engineering Intern at Bombardier Transportation.

Overall, Stephanie Pavlick has a diverse background in machine learning, robotics, engineering, and research.

Stephanie Pavlick completed their Bachelor's Degree in Electrical and Electronics Engineering from the Massachusetts Institute of Technology from the year 2013 to 2017. Stephanie further pursued their education at the same institution and obtained a Master's Degree in Electrical Engineering and Computer Science from 2017 to 2018.