Summary
Chenghao Cai is a pragmatic software engineer with nine years’ experience building and maintaining cloud-deployed systems, currently focused on Airflow-based orchestration and automation at Publicis Groupe in San Francisco. He is fluent in Python and Java and has a strong track record delivering CI/CD, observability, and incident response tooling at scale from his time at Capital One. Chenghao pairs hands-on ML and web-project self-study—covering TensorFlow, Scikit, Flask/Django, Redis, Celery, Docker and more—with production-grade experience in Splunk, DataDog, Jenkins and AWS failover. He excels at cross-team collaboration to onboard partners and resolve operational issues, and has repeatedly modernized legacy services via migrations, monitoring, and automated workflows. Notably, his background spans both mechanical engineering and a CS master’s, giving him a systems-thinking approach that blends algorithmic rigor with practical product delivery.
9 years of coding experience
Master's degree, Computer Science, 3.7, Master's degree, Computer Science, 3.7 at University of Delaware
Bachelor’s Degree, Mechanical Engineering, 3.4, Bachelor’s Degree, Mechanical Engineering, 3.4 at Purdue University
English, Chinese