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Masoud Mokhtari

  • github
  • LinkedIn

Hello there! I'm an Applied Scientist at Amazon, and my work is mainly about building virtual try-on experiences and recommendation systems. Before my current role, I was an intern at Amazon, working on creating style transfer models with generative adversarial networks. I hold an MSc degree in Electrical Engineering from the University of British Columbia, and I was fortunate to have been co-supervised by Dr. Purang Abolmaesumi and Dr. Renjie Liao. My research then revolved around graph neural networks and applying structured deep learning to medical challenges. I also earned my bachelor's degree from the same university, also in Electrical Engineering. Staying up-to-date with the latest in machine learning is a challenge I relish, though it can sometimes feel like a race! Earlier in my career, I interned at Intel Corporation and TRIUMF, where I got hands-on experience with developing firmware and hardware code. I'm always looking to connect with like-minded folks, so do drop me a line on LinkedIn if you'd like to chat!

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