Computer science researcher  and IT Professional based in Canada with a strong background in the field of computer science and information technology. He has a passion for applying cutting-edge technologies to solve real-world problems. He has completed several research projects and worked with industry leaders to develop technology solutions in the field of resilient housing.

Nirmal's work has focused on developing systems to assess and improve the condition of houses, including solutions to generate automated retrofit solutions. His team had also secured second position on the Call for Code 2018 competition with an application, "Post-Disaster Rapid Response Retrofit (PD3R)," which uses artificial intelligence to determine the Go NoGo action for retrofit after a disaster. Nirmal is currently working with frontier technologies to improve resilient housing. He is also motivated and ambitious to continue his research in frontier technologies like AR, VR, AI, and ML to apply his learning and experience to solve ongoing and upcoming challenges of society.