Machine Learning Engineer


Significant Work Experience:
1. ML Research Intern (Massachusetts General Hospital): Implemented a self-supervised denoising network to denoise MRI scans using Bernoulli sampled instances of the scans (the work helped in reducing the time required for patients to complete an MRI scan)
Tested the model for PSNR value comparison with supervised image denoising models and additive gaussian noise to find similar, and at times better performance.
Tested a CNN based model to reconstruct raw MRI scans based on the Blip Up-Down Acquisition (BUDA) reconstruction technique


To learn standard practices in training and deploying ML models, contribute in building, training, testing and deploying ML models through Supervised, Unsupervised as well as Self-supervised models.

Employment Preferences
  • London, England, United Kingdom
  • New York City, New York, United States
  • San Francisco, California, United States
Expected Base Salary

**0,000 USD

Expected Hourly Rate

** USD/hr

Academic Degree

Total Professional Experience

1 year

Startup Experience

no experience

Big-Tech Companies

no experience

Enterprise Experience

no experience
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