Bowen Song
Research Engineer | PhD Candidate at USC Viterbi
Working across deployable embodied ML, personalization, ranking, and ML systems.
I build machine learning systems that have to survive noisy data, heterogeneous users, and real deployment constraints. My work includes SVD Embedding Regression for edge-friendly force estimation, formal systems research on hybrid cloud federation, and algorithmic systems work validated against real workloads.
Open to: Research engineering, applied scientist, and ML systems roles where experimentation, implementation, and engineering judgment all matter.
📧 bowenson@usc.edu | LinkedIn | Download CV