-Created new models for standard datasets (MNIST, CIFAR10, MSTAR) based on Resnet50 residual neural network architecture-Contributing to evaluating a new deep learning optimizer, pending publication

-Refreshed production machine learning models for Community Ecosystem Eng Team-Created new model features and updated training dataset using FAIM and Fluent2 framework built on PyTorch-Built full-stack web visualization platform for dynamic, interactive, and accessible exploration of team’s signals using ReactJS, GraphQL, PHP and Hive-Exposed team entities to GraphQL to improve data lookup time by ~500%

-Fostered collaborative and friendly learning environment in a functional programming (Python) class-Collaborated in creating worksheets and ran discussion sections with TA-Mentored and provided academic support for 100 Computer Science students

-Maintained and deployed computer hardware across major mining clients using Bash and Perl -Automated set up and installation of company policies and scripts throughout client’s hardware -Provided technical support on mine site client machines both remotely and in person