• Assessed C++ assignments and conducted office hours to clarify student queries.• Supported course delivery to improve learning outcomes for 95+ students.

Project: Medical Cognitive Testing Platform– Leading the development of a testing application using AWS, NestJS, Angular, and Ionic, aimed at reducing turnaround time and enhancing test analysis capabilities.– Designing and modeling a HIPAA-compliant PostgreSQL database with a focus on high efficiency, ensuring minimal impact on the performance of other database-dependent applications.– Overseeing the deployment of the backend on AWS ECS and S3, with the application being continuously rolled out for mobile, web, and integration with leading EHR platforms.

Project: Generating Patient Summary– Developed a program to transform clinical voice notes into medical summaries using Python, GenAI and AWS, resulting in a 30% reduction in time required for new patient documentation and enhancing patient-provider interactions– Built an efficient extraction pipeline to process unstructured and structured medical documents, enabling efficient record searches and medical chart generation using Llama Medical and AWS Comprehend Medical

- Created an application using computer vision to classify dry fruits to aid merchants and consumers ensure genuineness of products– Coded and optimized image classification model using TinyML to ensure operation on handheld devices using our dataset with 92% accuracy– Constructed a comprehensive dataset of more than 11,500 high-quality images of dry fruits consumed globally