Summary
Junyang Lu is a UMass Amherst senior studying Computer Science (AI/ML) and Mathematics (Data Science) who blends hands-on engineering with quantitative research in finance. He currently works as a quant researcher/trader for a student-run alternative investment fund while interning repeatedly at Fidelity, where he improved SonarQube coverage for AWS Lambda pipelines, built scalable file-tracking systems, and deployed ONNX models to SageMaker. Comfortable across Python, Java, and microcontroller firmware, he has practical experience shipping resilient backend patterns (CircuitBreaker) and experimenting with LSTM forecasting and GPT-4–generated tests. His robotics and rocketry background shows a knack for embedded sensing and control systems, and he led FRC software efforts that achieved high-accuracy vision detection. Fluent in Chinese and an active volunteer and trombonist, he brings cross-cultural communication and extracurricular leadership to technical teams. Ambitious about ML and quantitative finance, he pairs rigorous academic training with a track record of production-minded projects.
13 years of coding experience