Jagdish Kolhe
About Jagdish Kolhe
Jagdish Kolhe is a Staff Research Engineer at Blaize, specializing in AI and machine learning. He has a diverse background in software engineering and has held positions at several companies, including Capgemini, Cognizant Technology Solutions, and Faurecia.
Current Role at Blaize
Jagdish Kolhe serves as a Staff Research Engineer at Blaize since 2021. In this role, he focuses on developing innovative solutions in artificial intelligence. His responsibilities include leading research initiatives and implementing advanced AI technologies to enhance product performance. Kolhe's expertise contributes to the company's efforts in optimizing AI applications for various industries.
Previous Experience in AI and Machine Learning
Prior to his current position, Kolhe worked at Faurecia as a Senior Lead in R&D from 2020 to 2022, where he specialized in advanced driver-assistance systems (ADAS), computer vision, and deep learning. He also held a position at Cognizant Technology Solutions as a Machine Learning Engineer from 2014 to 2020, focusing on developing machine learning models. His earlier roles included a consultant position at Capgemini and a software engineering role at CNA Analytics Information Systems.
Educational Background
Jagdish Kolhe completed his Bachelor of Engineering in Computer Science at Datta Meghe College of Engineering, affiliated with Mumbai University, from 2004 to 2008. This educational foundation equipped him with essential skills in computer science, which he has applied throughout his career in various technical roles.
Expertise in AI Technologies
Kolhe has explored advanced areas of artificial intelligence, including Explainable AI and Biased AI. He has implemented AI solutions utilizing distributed computing and in-memory computing techniques. His work also includes the development of new patentable algorithms aimed at enhancing the efficiency of AI models for deployment on cloud and edge devices.
Utilization of Big Data Technologies
Throughout his career, Jagdish Kolhe has utilized various Big Data technologies, such as Apache Ignite, Hadoop, and Map Reduce, for analytics purposes. His experience with these technologies has enabled him to handle large datasets effectively and derive meaningful insights to support AI initiatives.