Summary
Luke Han is an AI software engineer and Carnegie Mellon ECE student (AI minor) with eight years of hands-on experience building cloud-native and AI-driven systems. He has shipped production features at AWS—developing a generative chatbot with Bedrock/Lex and Lambda-powered data pipelines that cut on-call response time by two hours—and now works on AI at Microsoft. His background spans GCP/Kubernetes deployments, SRE ops, and integrating ML models into networking and robotics research, showing fluency across infrastructure, model inference, and automation. At CMU he translated academic control research into a playable simulation and improved materials recovery in a BioRobotics project, demonstrating a knack for practical research translation. Comfortable in Python, C, PyTorch, and TensorFlow, he combines systems-level engineering with applied ML to deliver measurable operational impact. Based in Redmond, he brings both production experience and academic depth to roles that bridge AI research and scalable engineering.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Electrical and Computer Engineering, Bachelor of Science - BS, Electrical and Computer Engineering at Carnegie Mellon University