Summary
Vinita Jansari is a research-focused engineer blending nine years of industry and academic experience to apply machine learning and AI to automotive manufacturing problems. Based at CU-ICAR, she leads projects on class-imbalanced failure and fault analysis—such as tool wear and bearing condition monitoring—drawing on a PhD that developed novel methods for mining imbalanced biomedical data. She also teaches Digital Manufacturing, Python, and data-focused courses at undergraduate and graduate levels, having lectured across institutions in New Zealand and Singapore. Earlier in her career she spent six years building web applications and CRM solutions in London, giving her practical full-stack chops alongside research rigor. Known for bridging classroom teaching, applied research, and software development, she brings a rare combination of hands-on engineering, pedagogy, and domain-specific ML expertise to industrial AI challenges.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Auckland University of Technology
Master of Science (MSc), Management and IT, Master of Science (MSc), Management and IT at University of St Andrews
High School, Science, High School, Science at Maharaja Agrasen Vidyalaya
Bachelor’s Degree, Computer Applications, Bachelor’s Degree, Computer Applications at The Maharaja Sayajirao University of Baroda
Hindi, Gujarati, English