Yogesh Kulkarni, a computer-aided design and engineering expert, has over two decades of experience in software development, research, and management. Kulkarni holds Masters and Doctoral degrees in Mechanical Engineering, specializing in geometric modeling algorithms. He is currently involved in developing Legal Text Mining products using deep learning, natural language processing, and graph neural networks. Additionally, Kulkarni researches MidcurveNN, a geometric dimension reduction method that uses encoder-decoder neural networks.

On weekends, he teaches AI, machine learning, deep learning, and natural language processing to aspiring learners through meetups and summaries of interesting articles explaining AI. Kulkarni is always available to discuss career transitions to data science and AI. Kulkarni's professional experience involves being a Principal Architect - CTO Office at Icertis, where he is responsible for overseeing software architecture design and technology stack for the company's products. Before joining Icertis, he was a Data Scientist at Freelance and held the position of Software Development Manager, Site Manager at Autodesk India Pvt Ltd.