Summary
Kavi Sachania is a software engineer with 9 years of experience building production systems and AI/ML research tools for the semiconductor industry, currently contributing to Tokyo Electron’s AI R&D lab in Santa Clara. He holds both a BS and MS in Computer Science from Santa Clara University and blends applied research with hands-on engineering across backend, data, and machine learning stacks. Prior roles include developing high-performance big-data and ML solutions at PerformanceStar and full-stack systems that streamlined operations for education clients. Based in Mountain View, he brings practical experience shipping Java REST APIs, relational schema design, and real-time data features, alongside a research mindset tuned to industrial-scale problems. An understated strength is his ability to translate complex semiconductor ML research into deployable software for production environments.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS Computer Science and Engineering, Master of Science - MS Computer Science and Engineering at Santa Clara University
High School Diploma, High School Diploma at Saint Francis High School
Computer Science, Computer Science at Stanford University