Student Research Intern
Built an interactive desktop application enabling cognitively impaired patients to communicate through text and voice while collaborating with an interdisciplinary healthcare team.
The homepage is intentionally curated around my current cloud, distributed-systems, and AI work. This page keeps the broader history: earlier internships, research, academic projects, publications, and activities.
Built an interactive desktop application enabling cognitively impaired patients to communicate through text and voice while collaborating with an interdisciplinary healthcare team.
Modernized a legacy desktop workflow into an ASP.NET MVC web application for inventory-order processing and implemented features that improved user productivity by ~65%.
Built a real-time surveillance system to detect and track people in deep-sea water, training on ~30,000 samples and achieving 85%+ detection accuracy; also developed a facial-recognition attendance system exceeding 90% accuracy.
Built a cloud application for planning travel itineraries with flight, attraction, event, weather, preference, and history-based recommendations.
Developed a scalable conversational restaurant-recommendation engine using serverless AWS services, event-driven queues, and messaging.
Built authenticated APIs and role-based authorization for a local-events application with D3-powered map visualization.
Detected faces and landmarks, morphed masks with nonlinear alignment, and overlaid them with Lanczos interpolation and alpha blending.
Built a data pipeline across web and HDF5 sources, processed data on Amazon EMR, and trained a random-forest genre classifier.
Analyzed smartphone sensing and workload data to model sleep, conversation, activity, and behavioral indicators associated with student stress and depression.
Implemented search and optimization strategies including A*, hill climbing, Monte Carlo Tree Search, BFS, and genetic algorithms.
Built a smart music player that used facial-expression analysis and task context to generate playlists aimed at improving mood and productivity.
A. Sen, D. Popat, H. Shah, P. Kuwor, and E. Johri.