Summary
Aninda Saha is a Senior AI Researcher with nine years of experience building and productionising generative and computer vision models, currently advancing T2I capabilities at Leonardo.AI/Canva. He holds a PhD in AI (Computer Vision) from UQ x Data61 (CSIRO), where he specialised in model compression and knowledge distillation to enable edge-deployable vision systems. At Leonardo he helped deliver Phoenix, a state-of-the-art text-to-image model notable for prompt adherence and text rendering, and has deep expertise in distributed training stacks (Deepspeed, Colossal.AI) and PyTorch-based workflows. He blends rigorous research—publishing work that feeds into popular diffusion frameworks—with hands-on engineering to productionise large-scale models and datasets on cloud and HPC infrastructures. Beyond models, his background spans embedded systems, FPGA design and full-stack tooling, reflecting a rare ability to move innovations from edge devices to cloud-scale platforms. Based in Queensland, Australia, he also co-leads local AI builder communities, bridging academic depth with product-focused collaboration.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Artificial Intelligence (Computer Vision), Doctor of Philosophy - PhD Artificial Intelligence (Computer Vision) at The University of Queensland
Diploma International Baccalaureate, Diploma International Baccalaureate at International Baccalaureate
Bachelor of Engineering - BE Electrical and Computer Engineering, Bachelor of Engineering - BE Electrical and Computer Engineering at Purdue University
Bengali, English, Hindi, French