Saurabh Koshatwar
About Saurabh Koshatwar
Saurabh Koshatwar is an AI Engineer with a strong background in computer science and diverse technical skills, including programming and web development frameworks. He has worked at several notable companies and has contributed to significant projects in machine learning and data science.
Work at ScaleAI
Saurabh Koshatwar currently serves as an AI Engineer at Scale AI, a position he has held since 2024. He works in the San Francisco Bay Area in a hybrid capacity. His role involves applying his expertise in artificial intelligence and machine learning to contribute to the company's projects and initiatives.
Education and Expertise
Saurabh Koshatwar holds a Bachelor of Engineering (BE) in Computer Science from Vishwakarma Institute of Information Technology, where he graduated with a CGPA of 8.8/10 and was recognized as a merit rank holder. He furthered his education by obtaining a Master of Science (MS) in Computer Science with a focus on Data Science from the University of Southern California.
Technical Skills
Koshatwar possesses a diverse technical skill set that includes programming languages such as R and C/C++. He is proficient in web development frameworks including React.js, Node.js, and Angular. His experience extends to utilizing tools and frameworks like Pytorch, TensorFlow, Docker, Kubernetes, and CI/CD tools such as Jenkins and OpenShift.
Professional Experience
Saurabh has accumulated extensive professional experience in various roles. He worked as a Data Science Intern at Thinking Hut IT Solutions from 2018 to 2019. He later served as a Software Engineer at CLSA Technology & Services from 2019 to 2021, where he contributed to systems with in-memory distributed computing architecture. Additionally, he held internships at Tesla and Omnicell, and worked as a High Performance Computing - Deep Learning Research Assistant at the University of Southern California.
Achievements
In 2022, Saurabh secured the grand prize in the NeuroHack Hackathon, showcasing his skills in AI and machine learning. He has also worked on significant projects such as Dementia diagnosis and Object Detection using Lightweight FPN, which provided him with comprehensive experience in end-to-end machine learning development and deployment processes.