Summary
Albert Ge is a research-focused software engineer with a decade of experience building scalable systems and advancing ML research, currently interning on Data-Centric AI at Microsoft while farming GPUs and pursuing a PhD at University of Wisconsin–Madison. His background bridges industry and academia — from scaling Academia.edu’s email distribution to 100M users and shipping multi-armed bandit systems, to research on neural network compression at Harvard DASlab. He has hands-on experience in production deployment tooling (Jenkins, Ansible), biological metadata systems at AbbVie, and indie open-source contributions to prominent repos like OpenAI Gym and Baselines. Comfortable moving between infrastructure, experimentation, and model-centric research, he brings both product impact and deep technical curiosity. Based in San Jose, he blends rigorous academic training with pragmatic engineering that accelerates ML research into production.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Wisconsin-Madison
Massachusetts Institute of Technology
Master's degree Computational Science, Master's degree Computational Science at Harvard University
California Institute of Technology