Naveen Kashyap
About Naveen Kashyap
Naveen Kashyap is a Founding Engineer at Mindy, with a background in computer science and machine learning. He has previously held positions at the University of California San Diego and Instabase, contributing to various software engineering roles throughout his career.
Work at Mindy
Naveen Kashyap currently serves as a Founding Engineer at Mindy, a position he has held since 2023. His role involves contributing to the foundational engineering efforts of the company. He works on-site in the San Francisco Bay Area, where he applies his extensive background in software engineering and machine learning.
Previous Experience at University of California San Diego
Naveen Kashyap has held multiple positions at the University of California San Diego. He worked as a Graduate Student Researcher from 2019 to 2020 for nine months, focusing on research projects. Additionally, he served as a Graduate Teaching Assistant from 2018 to 2020 for two years, where he assisted in teaching undergraduate courses. He also gained experience as a Student Software Engineer in various roles from 2016 to 2019, contributing to software development projects.
Experience at Instabase
From 2020 to 2023, Naveen Kashyap worked as a Software Engineer at Instabase in San Francisco, California. During his three years at the company, he engaged in software development, leveraging his skills in computer science and machine learning to contribute to various projects.
Educational Background
Naveen Kashyap earned his Master's degree in Computer Science with a focus on Machine Learning from UC San Diego, studying from 2018 to 2020. Prior to that, he completed his Bachelor of Science in Electrical Engineering and Computer Science from 2013 to 2018 at the same institution. His education provided a strong foundation in software engineering and machine learning principles.
Internships and Teaching Experience
Naveen Kashyap has participated in several internships that enhanced his software engineering skills. He interned at Ampush Media in 2016 and at Uber in both 2017 and 2018. Additionally, he worked as a Teaching Assistant at CodePath in 2017, where he supported coding education initiatives.