About

Work Experience

• Data Scientist (ML, DE, MLOps), Caliber Public Schools

  Sep, 2024 - Present

  • Owned full data lifecycle with strong technical ownership, modernizing GCP data infrastructure (BigQuery, GCS, Dagster, dbt) for actionable insights.

  • Engineered People Team data pipeline, integrating rigorous validation & testing; reduced manual checks from months to seconds.

  • Developed/deployed production-grade predictive risk models for staff turnover, enabling proactive retention strategies.

  • Translated complex data findings into clear, actionable reports for diverse technical & non-technical leaders.

• Data Scientist (ML, Data Engineering, MLOps), SetSail

  Aug, 2021 - Feb, 20231 year 6 months

  • Applied deep technical expertise to lead AWS data pipeline overhaul, reducing processing 75% & scaling 4x (TBs) for LLM integration, ensuring data integrity.

  • Developed/deployed production ML models, delivering actionable insights; contributed to 33% faster ramp & 16% higher revenue.

  • Independently architected scalable data solutions (star schema, optimized DAGs, async ingestion) with robust testing & CI/CD.

  • Collaborated cross-functionally to translate complex data problems into actionable solutions for diverse stakeholders.

• Data Science Research Team Lead, UC Berkeley School of Public Health

  Sep, 2020 - May, 20218 months

  • Led data science in mixed-methods studies, applying causal inference & qualitative analysis.

  • Developed novel data processing for unstructured/geospatial datasets; communicated findings via interactive dashboards.

Projects Experience

• ResumeLLM (AI Agent for Resume Tailoring)

  - Present

  • Developed robust, agent-based system for precise, context-aware resume customization.

  • Designed and implemented internal APIs for seamless system integration and data flow.

  • Leveraged LangChain, LangGraph for sophisticated AI agent orchestration, multi-step reasoning.

  • Applied NLP, LLM techniques to parse job requirements, generate tailored content.

• Dagster People Team Pipeline

  - Present

  • Architected scalable ETL pipeline using Dagster for HR data workflows into BigQuery.

  • Automated data consistency checks, reducing manual validation from months to seconds.

  • Enabled rich longitudinal analysis, predictive turnover models for talent planning.

Skills

Education