Summary
Tita Ristanto is a data and ML leader based in Texas with a decade-long track record building production ML and data platforms across renewable energy, automotive, and aerospace domains. She has led cross-functional global teams at Tesla and now develops Data/ML/AI systems at SpaceX, previously spearheading GenAI and home electrification efforts at SPAN. Her hands-on background spans end-to-end pipelines, cloud-native deployments, and advanced models for predictive maintenance, anomaly detection and forecasting, underpinned by experience with Spark, Kubernetes, AWS/GCP and modern deep learning architectures. Tita’s training in energy resources engineering and early work in reservoir and production engineering give her a unique ability to translate complex physical systems into scalable data products. Known for combining research-grade rigor from Stanford with pragmatic product delivery, she routinely moves prototypes into mission-critical production.
8 years of coding experience
10 years of employment as a software developer
Bachelor of Engineering - BE, Petroleum Engineering, Bachelor of Engineering - BE, Petroleum Engineering at Institut Teknologi Bandung
Doctor of Philosophy - PhD - Dropped Out, Energy Resources Engineering, Doctor of Philosophy - PhD - Dropped Out, Energy Resources Engineering at Stanford University
English, Indonesian, javanese