Summary
Sepehr Sadighpour is a Senior Staff ML Engineer and MLOps architect with 11 years of experience building production-grade ML platforms and data products across health, energy, and consumer domains. He architects scalable workflows that bridge data engineering, ML engineering, and data science—instrumenting feature stores, orchestration, validation, and deployment so domain experts can experiment and push models to production with minimal engineering overhead. Currently at Grindr, he’s focused on bringing LLM-powered applications to millions of users after designing cross-team MLOps tooling for clean-energy analytics at Equilibrium Energy. His background spans leading small teams, building privacy-conscious developer tools for healthcare data, and implementing event-driven, reproducible pipelines using tools like Snowflake, Temporal, dbt, Feast, and Argo CD. Known for translating complex workflows into practical guardrails, he combines a physicist’s analytical rigor with hands-on systems craftsmanship.
11 years of coding experience
14 years of employment as a software developer
Bachelor's of Science Physics, Bachelor's of Science Physics at Duke University
Persian, English, Spanish