Implemented deep convolutional and recurrent neural networks to predict imagined directional movements

Preprocessed EEG signal data to reduce noise and improve accuracy

Developed a REST API to aggregate 10,000 service logs per minute from 20 AWS regions spanning 6 continents

Designed and implemented a serverless backend with AWS API Gateway, Lambda, and Node.js.

Created an interactive frontend with Typescript, React, and Redux to display tabular information.

Integrated AWS CloudFront to reduce latency, Cognito to authenticate users, and CloudFormation to programmatically deploy infrastructure.

Implemented an execution provider to perform inferencing on ONNX machine learning models

Quantized deep learning models to reduce inference latency by 60x for deep convolutional neural networks such as MobileNet and ResNet