Developing APIs and integrating frameworks like DDB, State machines, Lambdas, etc. using NodeJs, React, Python, typescript.

Delivering production ready code with comprehensive unit/integration testing and documentation, software performance metrics, setting up and maintaining CI/CD pipelines, handling and quick resolution of customer issues as part of on-call tasks.

Set up new packages and introduced pytest unit testing for Glue scripts and large-scale DB systems significantly improving user-experience and product efficacy.

Studied different uncertainty measures such as aleatoric and epistemic in a given dataset

Utilized neural ensemble techniques and MC Dropout for dealing with adversarial examples in classification problems

Synthesized a dataset which would help in distinguishing between the two uncertainty measures and decrease confidence of adversarial data points.

Designed and implemented backend and frontend modules based on NodeJS, React and learned about respective unit test frameworks

Introduced GraphQL in the existing framework involving schema design, Lambda integration and DynamoDB integration

Transfer learned on 4 different variations and did comparative analysis based on main ingredients

Analyzed the latent space captured and the scope of it for this specific task

Worked towards predicting depression in individuals by studying the behavioral patterns through text message sentiment analysis over a series of weeks.

Analysed data for correlation coefficients between common psychological measures (EMA, DSM, etc.) and depression.