Jignasha Dalal
About Jignasha Dalal
Jignasha Dalal is a Corporate Trainer with extensive experience in academic training for computer engineering graduates. She holds a PhD in Computer Engineering from Mumbai University and has worked as an Assistant Professor at K. J. Somaiya Institute of Engineering and Information Technology for ten years.
Work at Rapid Innovation
Jignasha Dalal has been employed at Rapid Innovation as a Corporate Trainer since 2022. In this role, she focuses on delivering training sessions that incorporate advanced AI tools, including chatGPT, CodeGPT with VS Code, Locofy, Stable Diffusion, Midjourney, and Github Copilot. She is also involved in the hiring process for AI/ML interns, contributing to the development of future talent in the field.
Education and Expertise
Jignasha Dalal holds a Master of Engineering (MEng) in Computer Engineering from Mumbai University, where she studied from 2007 to 2010. She also earned her Bachelor's degree in Computer Engineering from Sardar Patel University, completing her studies from 1992 to 1996. Currently, she is pursuing a PhD in Computer Engineering at Mumbai University, expected to be completed in 2024. Her educational background is complemented by foundational knowledge in AI/ML and Python, alongside her expertise in blockchain technology.
Background
Prior to her current role, Jignasha Dalal served as an Assistant Professor at K. J. Somaiya Institute Of Engineering and Information Technology from 2012 to 2022. During her tenure, she monitored processes across various engineering departments, including Blockchain, Backend, and Front End, ensuring compliance with organizational policies. With 16 years of experience in academic training, she has taught subjects such as Data Structures, Compiler Construction, Neural Networks, and Fuzzy Systems.
Achievements in Academic Training
Jignasha Dalal has extensive experience in both offline and online academic training for computer engineering graduates, totaling 16 years. She has developed and delivered curricula covering a range of subjects, including Data Structures, Compiler Construction, Neural Networks, and Fuzzy Systems. Her role in shaping the educational experiences of students has contributed to their understanding of complex engineering concepts.