- Working as a product lead for CORA AP Flow Product to transform GE Vernova’s Account Payables services by automating invoice processing and duplicate invoice checks.- Lead effort to migrate 14 million digital invoices from an on-premise application to AWS cloud hosted system (Java Script and Java Programming).- Worked with FedEx to create a streamline process for reporting pickup and delivery events to GE Oracle Transportation Management database via integration of FedEx Track API.- Developed proof of concept for automation utilizing Oracle Transportation Management REST API, which will proactively detect missing information/mistakes found on shipment order.

CSE 144 is an advanced machine learning class. Curriculum includes regression based methods (linear and logistic regression), simple neural networks, and deep learning(transfer learning and Convolutional Neural Networks). I assisted students in their lab assignments and answered questions related to course content.

Implemented statistical and machine learning based approaches for failure detection of GE Cypress wind turbine bearings. Used and preprocessed data from Global Repository.

Worked on ontology based on AMRL (Alexa Meaning Representation Language). Learned about deep learning and application of deep learning models such as BERT in the chatbot industry. Coding done in Java.