Summary
Hong Lin is a Carnegie Mellon University computer science BS student (class of 2025) based in New York, blending strong academic foundations with hands-on software engineering. With roughly a decade of experience across finance, cloud services, and research, he is currently a Software Engineer at Jane Street, following prior internships at Jane Street and AWS. As an Undergraduate Research Assistant at CMU, he developed reinforcement learning–based navigation algorithms, built simulators, and trained agents across millions of episodes using OpenAI Gym. He also contributed to a multimodal data pipeline and CNN-based detection in TensorFlow during a NUS internship, with data visualization in Matplotlib to uncover insights. His work combines algorithmic depth with practical systems building, spanning Python, ML frameworks, and simulation tools, and his SAF instructor experience adds a disciplined, collaborative edge.
11 years of coding experience
1 year of employment as a software developer
Singapore-Cambridge GCE A Level, Science, Singapore-Cambridge GCE A Level, Science at Raffles Institution
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Carnegie Mellon University School of Computer Science
English, Chinese