Summary
Sai Krishnan is a Senior Applied Scientist in Melbourne with 9 years of experience building production-grade generative image and video systems at Canva, including work on Magic Expand, Image Blend and Background Generator. He combines deep research in diffusion models, computer vision and NLP with hands-on engineering—training and fine-tuning foundational models and bridging SLURM HPC workflows to modern platforms like Anyscale and Ray. His honours thesis (90%) explored bias mitigation for text-to-image diffusion models, reflecting a strong academic grounding alongside practical product impact. Outside engineering, he has scaled technical communities—growing Monash’s coding club to 1,000+ members and running large hackathons—which speaks to his streak for mentorship and operational execution. A self-described generalist who enjoys tackling “hard things,” Sai blends research scientist rigor with production-focused research engineering.
9 years of coding experience
3 years of employment as a software developer
John Monash Science School
Bachelor of Applied Data Science (Honours), Data Science, Bachelor of Applied Data Science (Honours), Data Science at Monash University