Designed agentic AI systems that self-explore app interfaces to gain spatial knowledge and identify user journeys. Developed RAG pipelines with spatial reasoning for contextual in-app guidance.

Developed methods to diagnose ASD through EEG and IRT (w/IUPUC), diagnose ADHD through Eye Tracking (w/ODU), perform webcam-based eye tracking (w/UCSD), estimate cognitive load from real-time gaze data (w/ODU), and estimate webpage changes from archived crawl data (w/PSC). Worked as a TA for core CS courses, including Data Structures, Algorithms, Principles of Programming, and Computers in Society.

Explored interpretable methods to predict antimicrobial resistance from single-cell bacteria images. Trained Neural ODEs to approximate the dynamics of wave propagation in multimode fibers. Developed hypothesis testing methods to detect out-of-distribution inputs to deep neural networks.

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.