Summary
Jake Papineau is a software engineer with nine years of experience building production systems and cloud services, currently contributing at JPMorgan Chase & Co. He holds a Master's in Computer Science from the University of Delaware and transitioned from academic research—where he developed convolutional neural networks for sparse datasets—to enterprise cloud and engineering roles. Proficient in Python, Matlab, Keras, and TensorFlow, he has hands-on experience delivering test systems in industry from an Agilent internship and shipping cloud-enabled features at JPMC. Jake combines research-grade machine learning know-how with practical software engineering practices, making him comfortable both prototyping models and integrating them into larger codebases. Based in New York, he brings a pragmatic, data-driven approach to solving complex problems and mentoring peers, informed by years as a teaching assistant and research collaborator. An understated strength is his ability to move solutions from noisy, sparse research data into reliable production workflows.
9 years of coding experience
2 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at University of Delaware