Rahul Vallivel is a Machine Learning Engineer with eight years of experience focused on deep learning and computer vision, currently based in Sunnyvale and working at Amazon. He has a strong track record building generative models and ML tooling for graphics—previously advancing Unity’s Muse generative product and enabling artists to create game environments with ML-driven tools. His research at Columbia produced a high-performing image-compression autoencoder with an autoregressive Masked 3D-CNN context model, and earlier academic work delivered a GAN that combined 4x super-resolution with classification. Rahul blends applied research and production engineering, moving novel architectures from papers and prototypes into tools used by studios. He also brings hardware-adjacent experience from medical-device prototyping and a habit of framing GAN training problems in novel ways (e.g., continual learning with experience replay), which helps him tackle robustness and mode coverage challenges in generative systems.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Technology (BTech) Electrical Electronics and Communications Engineering, Bachelor of Technology (BTech) Electrical Electronics and Communications Engineering at National Institute of Technology, Tiruchirappalli
High School, High School at D.A.V Boys Senior Secondary School, Gopalapuram
Master of Science - MS Electrical and Electronics Engineering, Master of Science - MS Electrical and Electronics Engineering at Columbia University
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