PRITHVIJIT CHAKRABARTY
Welcome to my home page!
I'm currently at Amazon Go
Email: prithvichakra@gmail.com
LinkedIn
GitHub
EXPERIENCE
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I'm currently an applied scientist at Amazon Go, on the algorithms team for the Dash Cart.
We recently had a public launch, and you can see a nice video about it here.
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I completed my Master's in Computer Science at UMass, Amherst in 2019.
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In Summer, 2018, I had the opportunity to work with Bob Price in the Interaction and Analytics Lab at Xerox Parc, where
I investigated techniques few-shot learning and training object detectors with less labeled data.
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As an intern at Intel, Bangalore, I worked with Anbumani Subramanian and Subramanian Chidambaram on real-time classification and segmention of hyperspectral images.
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As a part of the Aspiring Researcher Program, I worked with Prof. James Davis at UC Santa Cruz and Rajan Vaish,
on analyzing crowdsourcing techniques for machine learning related data collection:
Paper:
On Optimizing Human-Machine Task Assignments
PAPERS
PROJECTS
Course projects
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Selectively Forgetting Tasks with Elastic Weight Consolidation for Continual Learning
Report Code
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Thompson Sampling for Contextual Bandits
Report
Personal
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Simulations on attractor networks for memory
Code
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Exercise: Annealed Importance Sampling
Code
Video
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Hand tracking with autoencoders
Demo
Code
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Graph centrality to find main movie characters
Demo
Code
Blog post
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CNN for face detection
Demo
Code
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Human tracking with SVMs
Demo
Code
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Sentiment analysis with Convolutional Neural Networks
Code and documentation
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3D mapping with ultrasonic sensors
Video
Code
Documentation
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Beeble: A collaborative Android drawing app
Video
Code
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A visual music player in Processing
Code
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Po: Simple MapReduce in C
Code
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Graph plotter
Code
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Flashcards
Code
GitHub gists
Popular Reading
2020
2021
2022
2023
FUN
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PC build
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A really random bit on graphs: I don't know what to do with this...
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The big bad bottle wheel! Video
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Thoughts on TempleOS Video
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A serious article
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Music: I play the violin. I also play basic guitar, piano and harmonica.