Lily Orth Smith
About Lily Orth Smith
Lily Orth Smith is an ML Compiler Engineer currently working at Modular AI since 2022. She previously worked as a Software Engineer at OctoML and has a background in Computer Science from Wellesley College.
Current Role at Modular AI
Lily Orth Smith serves as an ML Compiler Engineer at Modular AI, a position she has held since 2022. In this role, she focuses on developing and optimizing machine learning compilers, contributing to the advancement of AI technologies. Her work involves collaborating with teams to enhance compiler performance and efficiency, which is essential in the rapidly evolving field of machine learning.
Previous Experience at OctoML
Prior to her current role, Lily worked as a Software Engineer at OctoML from 2020 to 2022. During her two years in this position, she contributed to projects that aimed to improve machine learning deployment and performance. Her experience at OctoML provided her with valuable insights into the challenges and solutions in the machine learning landscape.
Education and Academic Background
Lily Orth Smith earned her Bachelor of Arts in Computer Science from Wellesley College, completing her studies from 2016 to 2020. This academic foundation equipped her with essential skills in software development and computer science principles. Her education at a prestigious institution has contributed to her professional capabilities in the tech industry.
Internship Experience at Microsoft
In 2019, Lily gained practical experience as a Software Engineering Intern at Microsoft for two months. This internship provided her with exposure to large-scale software projects and the opportunity to work within a collaborative tech environment. The experience at Microsoft helped her develop her technical skills further and understand industry practices.
Research Assistant Role at Wellesley College
Lily also served as a Research Assistant at Wellesley College in 2017 for five months. In this role, she supported faculty research initiatives, which allowed her to apply her computer science knowledge in an academic setting. This experience contributed to her understanding of research methodologies and technical problem-solving.