About

Harsh Meena is an Applications Engineer at Lam Research with a passion for solving real-world engineering problems. He is responsible for developing process integration modeling and image analysis applications for Lam customers, as well as supporting internal software products and applications development. Prior to joining Lam Research, Harsh worked as a Graduate Research Assistant at Arizona State University where he utilized correlative tomography (TEM) to image and study biomechanical loading in EMU bird bone samples. He also developed machine learning frameworks using the region grow algorithm in AVIZO to segment biomedical image datasets. As a Teaching Assistant at Arizona State University, Harsh mentored 250+ college students for two semesters resulting in a 10% improvement of overall class grades. He also assisted the professor in creating and grading programming assignments and facilitated appropriate accommodations. Harsh holds a Master of Science degree in Materials Science & Engineering from Arizona State University and a Bachelor's degree in Materials Science & Engineering from the Indian Institute of Technology, Kanpur. He has a diverse tech stack that includes Research Scientist, Data Engineering, Integration, ML, and test. With 3.19 years of relevant experience, Harsh is a skilled engineer with a passion for innovation and problem-solving. His experience in developing machine learning frameworks and utilizing correlative tomography make him a valuable asset to any team.