Built a deep learning model and trained a classifier that distinguishes two different places of interest.

Identified the optimal model architecture,adjusted hyperparameters, applied regularization techniques and experimented with various data augmentation methods for superior performance

Implemented transfer learning. The pretrained model are trained from a much larger dataset that included 8 other places of interest. Pretrained model provided a good starting point for training and the model converge faster

Designed a MapReduce pipeline to efficicently process and crawl web content.

Started mutiple server to further analyze and process the data outputed from the pipeline

Applied parallel data processing to fetch information from different server and find top 10 search result

Developed web interface with REST API using Flask and successfully deployed applications to AWS