Adarsh Kulkarni
About Adarsh Kulkarni
Adarsh Kulkarni is a Solutions Engineering Manager at Scale AI, with a strong background in robotics and artificial intelligence. He holds a Bachelor's degree in Mechanical Engineering and a Master's degree in Robotics from the University of Pennsylvania.
Current Role at Scale AI
Adarsh Kulkarni serves as Solutions Engineering Manager at Scale AI, a position he has held since 2024. He operates in the San Francisco Bay Area, where he focuses on developing solutions that leverage artificial intelligence and machine learning technologies. His role involves collaborating with clients to understand their needs and providing tailored solutions that enhance operational efficiency.
Previous Experience at Scale AI
Before his current role, Adarsh worked as a Senior Software Engineer at Scale AI from 2022 to 2024. In this capacity, he contributed to various projects that involved the integration of AI technologies into scalable solutions. His work helped improve the functionality and performance of the company's offerings.
Education and Expertise
Adarsh Kulkarni holds a Master's degree in Robotics from the University of Pennsylvania, where he also earned a Bachelor's degree in Mechanical Engineering. His educational background equips him with a strong foundation in engineering principles and advanced robotics applications. He also completed his secondary education at Thomas Jefferson High School for Science and Technology, where he received the Jefferson Diploma.
Professional Background
Adarsh has a diverse professional background with experience in various roles. He began his career as a Software Development Intern at Oracle in 2016. He later held multiple positions, including Machine Learning & Software Development Intern at Oracle, Computer Science Intern at George Mason University, and Autonomy and AI Applications Engineer at Ghost Robotics. His role at Ghost Robotics spanned three years, during which he focused on AI applications.
Internship Experience
Adarsh's internship experience includes significant roles at notable organizations. He interned at Oracle twice, first as a Software Development Intern in 2016 and later as a Machine Learning & Software Development Intern in 2017. Additionally, he worked as an Artificial Intelligence Intern at Ghost Robotics from 2017 to 2018. These internships provided him with practical experience in software development and AI applications.