GCP BigQuery

Google Payments Platform

- Implemented an asynchronous video service for compression (40% reduction) and concatenation (constant time ~500ms). - Created video features on iOS for zooming, focusing, recording, trimming, thumbnail selection, and uploading.- Built web features for autocomplete search, video upload with polling, element drag and drop and cursor pagination.- Designed all the database models, coded authentication, polling, fetching/editing user/feed data endpoints on the backend. - Deployed backend with EC2, Route 53, Gunicorn, and Nginx. Integrated frontend builds with Webpack on ReactJS.

- Implemented the backend architecture (server, database, and networking)- Built the web application frontend with features like infinite scrolling, notification polling, accounts, et cetera- Deployed development operations on AWS infrastructure (EC2, RDS, Route 53)

- Designed NLP semantic features to improve the ranking of search query results.- Implemented stochastic gradient decision trees to incorporate novel optimization metrics.- Explored novel video classification layer in Caffe2 for deep learning applications.

- Processed 150GB of video fixation data with custom multithreaded Python bash scripts.- Created Python visualizations to understand saliency maps over input images.- Designed attentional convolutional networks in Caffe to improve accuracies in visual tasks. - Experimented with various model architectures including AlexNet and ResNet.

- Implemented reinforcement learning algorithms with discrete states representations to predict stock changes- Evaluated algorithms on custom Spark notebooks on AWS EMR backed Zeppelin web interfaces.

- Implemented a custom deep learning architecture to classify retinal images to 70% accuracy.- Created saliency maps from model weight activations to visualize the distribution of information in input images.- Designed a distributed server architecture to reduce latency from 5s to 200ms.

Matthew F. Peterson, Jing Lin, Ian Zaun, Nancy Kanwisher; Individual differences in face-looking behavior generalize from the lab to the world. Journal of Vision 2016;16(7):12. doi: 10.1167/16.7.12.- Created MATLAB scripts to generate saliency maps to visualize the distribution of eye fixations across the video frames.- Created an iOS application with login and GPS tracking capabilities.