Lingjie Feng
About Lingjie Feng
Lingjie Feng is a software engineer based in New York, known for winning the AGI House Hackathon with the RealChar project and enhancing patient engagement through machine learning at Cassian Solutions.
Work at Normal Computing
Lingjie Feng has been employed as a Software Engineer at Normal Computing since 2024. In this role, he contributes to various software development projects, leveraging his technical skills and experience in the field. His position is based in New York, United States.
Education and Expertise
Lingjie Feng studied computer science at Carnegie Mellon University from 2019 to 2022, where he focused on statistics and machine learning. His education provided him with a strong foundation in these areas, which he applies in his professional work. He also contributed to the Technology for Effective Learning lab by developing a Python course aimed at enhancing learning efficiency.
Background in Software Development
Lingjie Feng has a diverse background in software development. He worked as a Full Stack Developer at Cassian Solutions in 2021, where he focused on enhancing patient engagement through machine learning. He also held a position as a Software Engineer at Amazon in 2022 and again from 2023 to 2024, gaining experience in software engineering practices in different locations.
Achievements in Hackathons and Projects
Lingjie Feng achieved recognition at the AGI House Hackathon by winning with the RealChar project. This project allows users to create and customize AI companions, featuring capabilities such as voice cloning and audio streaming. The open-source project has garnered significant attention, achieving 5.4k stars on GitHub.
Research and Development in Human-Robot Interaction
During his time at Carnegie Mellon University, Lingjie Feng explored human-robot interaction and social robots. He focused on building interactive systems that aim to enhance human creativity, contributing to the advancement of technology in this field.