Sanjay S.
About Sanjay S.
Sanjay S. is a software engineer specializing in artificial intelligence and machine learning, with extensive experience at companies like Intel Corp, LinkedIn, and Handshake. He holds multiple degrees in electrical and computer engineering, including a Ph.D. from Carnegie Mellon University, and actively mentors engineers to improve team performance.
Work at Handshake
Sanjay S. has been working at Handshake since 2022 in the role of Software Engineering, specializing in Artificial Intelligence and Machine Learning. His work involves developing innovative solutions that leverage AI/ML technologies to enhance project outcomes. He operates remotely from the San Francisco Bay Area, contributing to the company's goals of increasing revenue and expanding the customer base.
Education and Expertise
Sanjay S. holds multiple degrees in engineering. He achieved a Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University, where he also earned a Master’s degree in the same field. Additionally, he obtained a Bachelor of Science in Electrical Engineering from Lafayette College. His foundational education includes completing his Higher Secondary Certificate at St. Xavier's College and ICSE at The Cathedral and John Connon School.
Background
Sanjay S. has a substantial background in software engineering, particularly in Artificial Intelligence and Machine Learning. He worked at Intel Corp for 15 years, from 1999 to 2014, in Santa Clara. Following his tenure at Intel, he spent 8 years at LinkedIn, from 2014 to 2022, where he focused on AI/ML applications in the San Francisco Bay Area.
Achievements in AI and Machine Learning
Throughout his career, Sanjay S. has architected new systems and capabilities to support business growth. He has developed AI/ML recommendation and analytics systems using Golang. He has also led the introduction of large language models (LLMs) in current projects, demonstrating his commitment to advancing technology in his field.
Mentorship and Team Development
Sanjay S. actively mentors engineers to enhance team performance and improve project delivery. His focus on mentorship contributes to building a skilled workforce capable of tackling complex engineering challenges in the software and AI/ML domains.