Implemented functionalities of the mobile app and landing screens from concept through deployment.

Used Postman to test APIs and PostgresSQL to store the data.

Used openapi to generate client side API from Kotlin backend and integrating backend with frontend UI

Worked in an agile team software development environment to continuously improve the functionality

Annotated a corpus of science exam questions of 7787 questions for fine-grained multi-class classification tasks

Generated data entries (10,000 entries in total) for a semi-automatic science knowledge base corpus

Generated structured explanations for around 2000 questions

Analyzing the correlation of two data sets using pandas

Exploring multi-task-learning to train supervised machine learning models to do question answering

Adapting LambdaRank to rank the explanations for a given question

Using React to build components on the front-end, allowing user to search/filter/edit/add language entries

Using Sequalize and GraphQL to build/query/connect the database and Docker for deployment

Collaborating with the team in pair programming to ensure the quality of the code