experience

Experience

  • Oct'24 - Aug'26
    Machine Learning Researcher
    Apple
    • Contributed to the research and development of generative AI features for on-device image processing in iPhone cameras, spanning model design, training, and productization.
    • Built end-to-end GenAI frameworks and large-scale data pipelines for scene-editing tasks — production-quality code with reviews and testing — bridging model development and deployment across cross-functional teams.
    • Investigated novel approaches at the intersection of computer vision, graphics, and machine learning. For a broader look at recent Apple Intelligence features, see some examples here.
  • Summer 2022
    Applied Scientist Intern
    Amazon Science
    • Developed a GAN-based image-to-image translation model with a local histogram loss and custom face-segmentation masks to improve skin-tone fidelity and reduce visual artifacts.
  • Nov'20 - Jan'22
    Research Assistant
    University of Cambridge, UK
    • Led the Cambridge side of a joint vision-based blackgrass detection project with the University of Lincoln.
    • Co-authored a publication; contributed to model design, evaluation, and early commercialization exploration.
    • Trained a ResNet classifier on a novel agricultural dataset as the final milestone of the startup-oriented initiative.
  • Feb - Sept 2020
    Software Developer
    Freelance, Istanbul, Turkey.
    • Developed an Android app prototype using the Kivy framework in Python for a tech startup.
    • Built custom UI widgets and implemented image-based features using hash-based image retrieval techniques.
    • Managed codebase with Git and collaborated remotely with product stakeholders.