Our Team

Experts in AI solutions for agri-biotech challenges and innovations

Prakash has been at the forefront of the green revolution. He is a leading voice in policy decisions within the agri-biotech domain across industry and many governments, starting with the US. This has won him several accolades and recognitions. He is now leading this effort to bring cutting edge AI solutions to mainstream deployment across various agricultural segments through CubeBio AI.

Prashanth has 15+ years of applying machine learning to problems in life sciences. In the past years, he has researched into the use of deep learning techniques like LLMs, diffusion models, etc. to infer from multi modal data like multiomics, images, etc. He has extensive experience in building, hiring & managing top talent from diverse scientific and engineering backgrounds. His teams usually comprise diverse talent of postdocs, Ph.d's and multi-disciplinary engineers.
Prashanth works at the periphery of life sciences & AI.

CubeBio AI is supported by a dynamic set of bioinformaticians, AI engineers, cloud engineers and others. The team comprises of advanced degree holders, as well as engineers. However, some of them are contractors and freelancers. We work in Bengaluru that is the technological hub of India and ships close to 50% of the technological products exported by India. This ensures a strong access to diverse talent.

Sanjay has built deep expertise in digital transformation within the agri-biotech sector. Before deciding on the startup route he spent most of his career at Monsanto (now Bayer) where he spearheaded several initiatives that applied AI/ML (from early multilayer perceptrons to convolutional neural networks to contemporary large language models) to harness petabytes of data generated by the company’s R&D processes to drive data-driven decisions and streamline operations. Sanjay is a key influencer in leveraging AI for sustainable practices in agriculture and continuous innovation.
Sanjay contributes at the intersection of AI and software engineering.