Maya Mutic

Background

About Maya Mutic

At electronRx, I work on the cutting edge of respiratory health technology, leveraging my background in applied and computational mathematics to develop and optimize machine learning models for respiratory metric estimation. I built and fine-tuned neural network architectures using TensorFlow, designed and conducted experimental protocols with human volunteers, and applied rigorous statistical analysis to guide model development. I am currently leading the integration of our pipeline into Google Cloud, using Docker to deploy a scalable, cloud-based web application. I hold a BS in Applied and Computational Maths from Caltech and an MA in Operations Research and Financial Engineering from Princeton University, where I also contributed to the open-source energy modelling software GenX at the Andlinger Center for Energy and the Environment. I have advanced proficiency in Python, with experience in Pandas, scikit-learn, TensorFlow, and PyTorch, and I bring hands-on knowledge of Docker and cloud computing platforms such as Google Cloud. I bring not only technical expertise but also a track record of driving project delivery, aligning technical and business goals, and solving problems with clarity and urgency.