Nandini Sahu

I am a Senior AI Engineer at Temus, with a PhD in Astrophysics and a strong background in data-driven science and machine learning methods. Previously, I was a full-time researcher at Harvard & Smithsonian and a postdoctoral fellow at the University of New South Wales, Australia. I completed my PhD at the Center for Astrophysics and Supercomputing, Swinburne University of Technology, Australia, and hold an integrated Bachelor's and Master's degree in Engineering Physics from IIT (BHU) Varanasi, India.

My work spans AI/ML, Data Science, and Astrophysics, with experience taking data-driven solutions from research and experimentation to production. At Temus, I work on enterprise AI, including RAG-based systems, scalable data pipelines, foundation models, and production-grade AI/ML solutions across cloud platforms, including AWS and Azure. I have also applied AI and machine learning to high-dimensional genomic data and developed risk-scoring algorithms for cybersecurity.

My research experience has been largely observation- and data-driven, focusing on supermassive black holes, galaxy evolution, gravitational lensing, and cosmology. As part of the Astro 3D Galaxy Evolution with Lenses (AGEL) collaboration, I led projects applying advanced data analysis and physics-based modeling to astronomical datasets, using gravitational lenses to study galaxy evolution and test cosmological theories.