Developed ML methods to diagnose ASD from EEG data (w/IUPUC), perform webcam-based eye tracking (w/UCSD), and estimate cognitive load from real-time gaze data. Built statistical models to estimate change in the academic web, using archived copies of web pages. Worked as a TA for core CS courses, including Data Structures, Algorithms, Principles of Programming, and Computers in Society.

Explored robust, interpretable deep learning methods for antimicrobial resistance prediction from single-cell bacteria images. Developed a hypothesis-driven outlier detection method for reliable use of deep neural networks as classifiers.

Developed ML based solutions to extract URLs from PDF documents, archive their content for posterity, and generate robust links.Developed ML based solutions to extract URLs from PDF documents, archive their content for posterity, and generate robust links.

Developed a mobile app for video-based doctor consultations. Restructured cloud services on AWS to reduce costs, set up unified logging, and configured CI/CD. Co-led development for web and mobile apps.

Prepared course materials, conducted lectures, and graded student assignments for the CS2963 Presentation Skills course.

Created a knowledge base for WSO2 Support by scraping and vectorizing WSO2 docs. Created a document retrieval API for support questions, wrapped it with DialogFlow Conversation API, and integrated with Facebook Chat.