Summary
Divyam Srivastava is a Generative AI Engineer based in London with eight years of experience blending research-grade generative modeling and production engineering. After academic work in visual computing and research stints at Max Planck and Japan’s National Institute of Informatics on flow matching and diffusion-based Text2Video, he now applies those foundations to real-world systems at Mercuria. His background spans machine learning for medical imaging (published work on breast density estimation), industrial SQL Server engineering at HSBC, and hands-on implementation of cutting-edge motion and video generation techniques. Known for "adding noise and fixing it," he combines experimental instincts with pragmatic deployment skills, bridging research prototypes and production constraints.
8 years of coding experience
2 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 Surat
Master's degree, Master's degree at Universität des Saarlandes