Summary
Rajath Dani is a Machine Learning Engineer with nine years of industry and academic experience applying AI to real-world products and research problems. Currently at AWS Applied AI Solutions, he builds and operationalizes ML systems that bridge research and production. His background includes deep-learning research at IISc in object detection, few-shot learning and scene graph generation, and product-focused ML roles at Stylumia and WalmartLabs. He co-founded an ed-tech startup (Cognirel), giving him hands-on product and startup experience alongside rigorous research training from NYU and IISc. Based in Jersey City, he blends academic depth with cloud-scale engineering, often translating novel multimodal and vision research into customer-facing solutions. Colleagues describe him as someone who thrives at the intersection of research, product ownership, and scalable ML deployment.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering - BE, Computer Science and Engineering, Bachelor of Engineering - BE, Computer Science and Engineering at R. V. College of Engineering, Bangalore
Pre-University, Computer Science, Pre-University, Computer Science at Sri Kumarans Pre-University College
Master of Science, Computer Science (CEI), Master of Science, Computer Science (CEI) at New York University
ICSE, ICSE at Carmel School
English, Hindi, Kannada