Archive

Earlier work, research, and projects.

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.

Earlier experience

NYU Langone Health · Feb 2018 — May 2018

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.

Python · PyQt · TensorFlow · OpenCV
Zebra Technologies · Summer 2018

Software Engineering Intern

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%.

C# · ASP.NET MVC · SQL Server · JavaScript · AJAX · REST APIs
Drishti Group · Summer 2017

Computer Vision Intern

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.

Python · OpenCV · Django · Computer Vision

Selected academic & personal projects

Cloud Computing · 2018

Holiday Planner

Built a cloud application for planning travel itineraries with flight, attraction, event, weather, preference, and history-based recommendations.

AWS Lambda · DynamoDB · ElastiCache · Cognito · CloudWatch
Cloud Computing · 2018

AI Customer Service Chatbot

Developed a scalable conversational restaurant-recommendation engine using serverless AWS services, event-driven queues, and messaging.

Lambda · API Gateway · Cognito · Lex · SQS · SNS
Full Stack Development · 2018 · GitHub ↗

Event Finder

Built authenticated APIs and role-based authorization for a local-events application with D3-powered map visualization.

Node.js · Express · REST APIs · NeDB · D3.js
Computer Vision · 2018 · GitHub ↗

Mask.IT

Detected faces and landmarks, morphed masks with nonlinear alignment, and overlaid them with Lanczos interpolation and alpha blending.

Python · OpenCV · HOG · SVM
Big Data Analytics · 2018

Music Analytics & Genre Recognition

Built a data pipeline across web and HDF5 sources, processed data on Amazon EMR, and trained a random-forest genre classifier.

PySpark · Scala · MLlib · AWS EMR
Data Science · 2017 · GitHub ↗

Sense.Me

Analyzed smartphone sensing and workload data to model sleep, conversation, activity, and behavioral indicators associated with student stress and depression.

Python · scikit-learn · Lasso Regression
Artificial Intelligence · 2017

Intelligent Pac-Man Agent

Implemented search and optimization strategies including A*, hill climbing, Monte Carlo Tree Search, BFS, and genetic algorithms.

Python · Search · Optimization
B.E. Final Year Project · 2016–2017

X-Beats

Built a smart music player that used facial-expression analysis and task context to generate playlists aimed at improving mood and productivity.

MATLAB · Java · MySQL · Viola-Jones · AdaBoost

Publication & activities

Springer LNNS · 2017

Music Playlist Generation Using Facial Expression Analysis and Task Extraction ↗

A. Sen, D. Popat, H. Shah, P. Kuwor, and E. Johri.

Hackathons & coding

Technical activities

  • Built a hotel-review summarization assistant at the Trivago Hackathon — New York Edition.
  • Ranked in the Top 10 at a TopCoder coding contest in New York.
Outside engineering

Martial arts

  • Participated in Karate Budokan International World Championship events.
  • Won first prize in Wushu at district level.