Adithya Kameswara Rao

Apple | MS @ CMU

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I am a graduate student at Carnegie Mellon University, specializing in Computer Vision and Deep Learning. With a strong foundation in Python and PyTorch, I develop cutting-edge solutions in computer vision and generative AI, with a focus on diffusion models. I have extensive experience in dataset curation, large-scale distributed training, and production deployment, allowing me to deliver comprehensive machine learning solutions from concept to deployment. I am particularly passionate about pushing the boundaries of AI technology while ensuring practical, real-world applications.

Throughout my career, I’ve contributed to impactful projects at leading organizations:

  • At Apple, I enhanced MacBook defect detection systems
  • At Hexo, I specialized in fine-tuning stable diffusion models

My work has been recognized through prestigious awards, including:

  • The DAAD-WISE Scholarship
  • The K.C. Mahindra Scholarship for Post Graduate Studies Abroad

Currently, as a Graduate Research Assistant at CMU, I’m working on:

  • Developing interactive visualizations for Stable Diffusion models
  • Developing cloud-native ML pipelines with auto-scaling capabilities for seamless multi-user deployment

selected publications

  1. 9663477.gif
    Conceptual model for improving maneuverability in borewell rescue devices
    Adithya Kameswara Rao, Harikrishna K, Jayendran R, and 4 more authors
    In 2021 9th RSI International Conference on Robotics and Mechatronics (ICRoM), 2021
  2. 10025349.gif
    An Abstract Model for Onshore Wind turbine Blade Maintenance
    Abhinava Ramanan G, Hemanth V J, Nishok P R, and 4 more authors
    In 2022 10th RSI International Conference on Robotics and Mechatronics (ICRoM), 2022
  3. Krishnapuram_2021.png
    Robotic arm for automatic brake testing and control
    Seetharam Krishnapuram, Adithya Kameswara Rao, K M Dhivakar, and 1 more author
    Journal of Physics: Conference Series, Mar 2021