ML Engineer

Summary

Built Seq2Seq time series prediction model for Stock data. Integrated Super Resolution models with Deep Fake detection models to improve the accuracy on low resolution videos. Improved the speed of super resolution models by manipulating batch patch processing. Detected patterns in images and bounded the rotated patterns with rectangular boxes.

Expectations

I'm looking for challenging applications on deep learning with a supportive team.

Employment Preferences
  • California, United States
  • Florida, United States
Expected Base Salary

**0,000 USD / year

Academic Degree
Experience

Total Professional Experience

1 year

Startup Experience

1 year

Big-Tech Companies

no experience

Enterprise Experience

no experience
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