Summary
Hong Lin is a software engineer and Carnegie Mellon SCS student (Class of 2025) with a strong track record across research and industry, including internships at AWS and Jane Street and a current engineering role at Jane Street. He blends hands-on machine learning and simulation experience—developing multi-objective RL environments, training agents at scale, and building TF pipelines for multimodal sensor data—with production internships in cloud and trading systems. Comfortable across Python tooling (OpenAI Gym, TensorFlow, Matplotlib) and research-to-production workflows, he has repeatedly taken projects from data collection and visualization through model tuning and evaluation. His background also includes instruction experience in Singapore’s Armed Forces, reflecting leadership and teaching ability under pressure. Ambitious about algorithmic design and project management, he favors principled solutions that balance multiple objectives in real-world systems.
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