CV

Work experience

• Prenuvo - Applied Machine Learning Scientist Aug 2024 – Present
  • Leading a product-oriented delivery team to assess organ age based on MRI scans using deep learning and computer vision.
  • Proposed and developed an interpretable spine age estimation model using inherently explainable prototypical networks.
• Prenuvo - Machine Learning Intern Jan 2024 – Jul 2024
  • Led research and productionization efforts of the first model to estimate spine age based on 3D MRI using deep learning.
  • Contributed to the development of the FDA-cleared segmentation-based Prenuvo body composition report which is now available to individuals undergoing scans at Prenuvo clinics.
• Luxin Tech - Software Developer Intern Jul 2019 – Sep 2019
  • Developed a low-priced multi-protocol infrared remote control for televisions and air-conditioners using C in ARM microcontroller which is commercialized as “Luxin Remote Controller”.

Education

• M.A.Sc. in Electrical and Computer Engineering, University of British Columbia, 2023
• B.S. in Computer Science, Amirkabir University of Technology, 2021
• B.S. in Electrical Engineering, Amirkabir University of Technology, 2021