In Dr. Nandita Garud's lab, I am responsible for developing a more efficient way to determine if a pathogen (virus or bacteria) interacts with a protein.

In this role, I am :-

• Utilizing natural language processing (NLP) coding with Python and Tensorflow to determine if a protein is a bacteria-interacting protein (BIP) to speed up time necessary to classify a protein as a BIP, saving hundreds of man-hours as head undergraduate researcher

• Innovating on current manual scoring method for BIPs, saving up to four months of work

• Writing a paper explaining methods and results, reporting distribution of proteins, and sharing Python code

As a Design and Build Team Engineer at Biomedical Engineering Society, my team and I created student-built solutions to simple health-care problems.

• Designed and attempted to build biomedical health-care solutions to two key medical shortcomings

• Improved accessibility to ECG data through a React Native phone app displaying real-time heart rate data

• Enhanced medical scanning technology through a Python-programmed scanning robotic arm, programming 3-D range of motion

• Constructed an Arduino-based pulse oximeter

As a Software Engineering at AWS, I was responsible for designing and implementing an effective solution to existing problems in the AWS Systems Manager product.

In this role, I :-

• Improved customer experience with AWS Systems Manager's PutInventory API (up to 7000 TPS) feature by leveraging AWS resources such as AWS X-Ray to formulate a scalable solution taking into account downstream TPS limits

• Proposed design involving AWS X-Ray to measure AWS SSM PutInventory latency

• Integrated AWS Lambda, AWS CloudFormation, AWS CloudWatch, AWS SQS, AWS X-Ray, AWS APIGateway, AWS Coral, and AWS SNS into solution

• Collaborated across AWS teams to add latency tracing across AWS SQS and AWS Lambda