Summary
Orpheus Mall is a Principal AI Engineer in San Francisco with a decade of experience translating messy, high-volume data into production-grade ML solutions across startups and enterprise teams. Rooted in a rare background recreating the Quark Gluon Plasma at RHIC/LHC, he combines advanced statistical modelling, large-scale Monte Carlo simulation and signal-extraction ML with practical engineering—ETL, PySpark, Airflow and TensorFlow—to deliver measurable product and growth outcomes. He built and led teams that deployed hundreds of models, invented a clustered PCA variant, and shipped NLP transformer systems as an AI founder, showing both research rigor and startup execution. Notably, his work at Atlassian redefined product instrumentation and churn forecasting, turning noisy event streams into compact, actionable features that scaled analytics by orders of magnitude.
10 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (PhD - Not Conferred) Ultra Relativistic Heavy Ion Collisions - Nuclear Particle Physics, Doctor of Philosophy (PhD - Not Conferred) Ultra Relativistic Heavy Ion Collisions - Nuclear Particle Physics at University of California, Davis
Spanish, Hindi