Harrison L.
About Harrison L.
Harrison L. is a Software Engineer and AI Trainer with a background in Mathematics Education and Finance. He has experience in tutoring, software development, and teaching, and currently works at Scale AI, where he focuses on refining AI models and improving their performance.
Work at ScaleAI
Harrison L. currently holds the position of Software Engineer - AI Trainer at Scale AI, where he has been employed since 2024. In this role, he focuses on training AI models and enhancing their performance. He has developed and administered approximately 20 intricate, multi-step prompts designed to challenge AI models, which has led to a 25% decrease in incorrect responses. His work involves refining AI-generated code to achieve 100% accuracy, ensuring optimal performance on a monthly basis.
Education and Expertise
Harrison L. has a diverse educational background. He studied at Brooklyn Technical High School and later pursued a Bachelor's degree in Mathematics Education at New York University from 2017 to 2021. He also attended App Academy, where he completed a Fullstack Software Development program in 2023 over four months. His studies in finance from 2013 to 2017 further complement his technical skills, providing a well-rounded foundation in both technology and education.
Background
Harrison L. has accumulated a range of professional experiences prior to his current role. He worked as a Private Tutor at Varsity Tutors, a Nerdy Company, from 2018 to 2019 in New York, where he provided academic support. He also served as a Software Engineering Student at App Academy in 2023 and worked as a Sales Associate at GNC from 2020 to 2021. Additionally, he was employed as a Mathematics Teacher at the NYC Department of Education from 2022 to 2023, where he applied his educational expertise.
Achievements
In his role as an AI Trainer, Harrison L. has made significant contributions by training AI models through feedback on approximately 50 AI-generated software development responses each month. His efforts in refining AI-generated code have resulted in achieving 100% accuracy, which is crucial for performance optimization. These achievements reflect his commitment to enhancing AI capabilities and improving the overall quality of software development responses.