Sauhaarda (Raunak) Chowdhuri

Sauhaarda (Raunak) Chowdhuri

Machine Learning Researcher and Undergraduate Student

About Me

I am a machine learning researcher, consultant, and an undergraduate student at the Massachussets Institute of Technology. I’m passionate about machine learning as a tool for effecting positive change. In my free time I enjoy reading Stoic/Buddhist philosophy, stargazing, singing Indian classical music, and walking my dog, Peanut.

Interests

  • Explainable AI
  • AI Education
  • Multi-Modal Data
  • Representation Learning
  • Cognitive Science
  • Economics

Education

  • BSc in Electrical Engineering and Computer Science, 2024

    Massachusetts Institute of Technology

Experience

 
 
 
 
 

Assistant Researcher

Carnegie Mellon University - Guruswami Group

Jun 2020 – Present Pittsburgh, Pennsylvania
  • Generating new audio samples using state-of-the-art Transformer techniques
  • Designed a machine learning pipeline for extracting audio metadata from ethnic music
 
 
 
 
 

Machine Learning Research Consultant

Peptide Logic

Feb 2020 – Present San Diego, California
  • Designed a pipeline for mouse behavior classification with deep learning to automate data annotation for a neuroscience drug discovery program supported by NIH Grants.
  • Ongoing efforts toward a first-author publication covering the novel techniques in this approach.
 
 
 
 
 

Assistant Researcher

Caltech Aerospace Robotics and Control Laboratory

Jun 2019 – Aug 2019 Pasadena, California
  • Conducted research using reinforcement learning to direct quadcopters to herd bird flocks away from airports/no fly zones, and investigated other leader-follower control problems with reinforcement learning.
 
 
 
 
 

Graduate Level Assistant Researcher

UC Berkeley DeepDrive

Apr 2017 – Jun 2018 Pasadena, California
  • Implemented a novel modal insertion method to allow a single deep neural network to learn several distinct “behavioral modes” of operation simultaneously for autonomous driving and published this research.
  • Adapted SqueezeNet network from ImageNet to perform regression based driving tasks.
  • Managed code repository and transferred Caffe repository to PyTorch/H5PY Training repository.
  • Migrated RC robots from TX1 to TX2 and Qualcomm Snapdragon Flight platforms using ROS control system.

Awards

Kyoto Prize Scholarship

One of three $10,000 scholarships awarded to students in San Diego and Baja California.
See certificate

Best Paper Award

This best paper award was selected by conference chairs.

Making Best Use of Data Award ($1500)

Top special award of $1500 given by GoDaddy for my novel use of data augmenetation methods at the International Science and Engineering Fair (ISEF).
See certificate

Special Award - 3rd Place ($800)

Special award of $800 given by Acoustical Society of America for my novel use of data augmenetation methods at the International Science and Engineering Fair (ISEF).
See certificate

Certifications

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

See certificate

Convolutional Neural Networks

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Neural Networks and Deep Learning

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Structuring Machine Learning Projects

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Introduction to Computer Science and Programming Using Python (6.00.1x)

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Recent Posts

Segmenting Aerial LIDAR Data

I segment some LIDAR data from an interview with MIT’s ESI Group.
Segmenting Aerial LIDAR Data

Seeing What a Gan Cannot Generate

This is an illustrated summary of the paper Seeing What a GAN Cannot Generate
Seeing What a Gan Cannot Generate

PDFPlot

A tour of my first python package designed to help people better organize plots for their big projects.
PDFPlot