Researched various text summarization methods (TextRank, Pointer Generator) and created a cloud-native text summarizer application consisting of Chrome Extension (Javascript / HTML / CSS) with Python backend server deployed on Google App Engine using Docker
Rewrote backend server in Golang for better performance
For SJSU Master’s Project, collaborated with team to launch containerized deep learning model to recognize emotional states using face and body gestures
Focused on training, testing, deploying, and serving the deep learning model using Keras, Tensorflow, Tensorfow serving, Flask, Docker, opencv
Collaborated with team in hackathoon to design & implement microservice architecture satisfying AKF Scale Cube with React.js frontend, Kong API Gateway, multiple load balancers, Golang API microservices, and MongoDB clusters hosted on AWS for shortening URLs with additional features like user profile and user history and most popular domains
Tools: Golang, AWS, MongoDB, React.js, Kong API Gateway, Docker
Ranked 1st in book recommender system, 2nd in traffic image classification, 3rd in news article text clustering, and 5th in medical text classification in the final leaderboard of data science competitions at SJSU
Wrote Python script to automatically check medical exam scheduling website and alert my sister via email when the earliest available medical exam time slot was available, resulting in a lot of saved time repeatedly manually refreshing the website and successfully getting her an early medical exam time slot (which she also successfully passed!)
