Experience

Impact-focused roles across healthcare technology, analytics, and enterprise reporting — with measurable outcomes.

Projects Resume

Keck School of Medicine of USC

Software Engineering Intern • Los Angeles, CA
  • Support the design and development of healthcare-focused software and data systems that power clinical research and medical initiatives.
  • Collaborate with clinicians and researchers to translate data requirements into reliable, performant, and secure application features.
  • Work across backend services, data integration, and reporting to improve usability and data quality in a clinical environment.

Oracle Health

Associate Software Engineer, AMS Custom Reporting • Oct 2023 – Jul 2025 • Bengaluru, India
  • Led advanced analytics initiatives at Children’s National Hospital across 17+ departments, driving 30–40% reduction in report runtimes and reclaiming 500+ staff hours/year.
  • Managed a team of six to design MedeAnalytics SQL pipelines processing 600,000+ patient records/day to produce financial metrics shaping $200M+ revenue decisions.
  • Created and transmitted a 340B Extract using SQL, MoveIt, and Pharmacy Clinical Surveillance, reclaiming ~114 hours/year and reducing pharmacy drug spend by more than $12M annually.
  • Implemented UB-04 claims reporting capturing 70+ data points across six record types with <2% error rate for 100,000+ transactions, ensuring HIDI/DCHA compliance.

Oracle Cerner

Analytics Intern, International Consulting PMO • Jan 2023 – Jul 2023 • Bengaluru, India
  • Migrated five enterprise Power BI reports from on-prem/SharePoint to Snowflake, rebuilding complex KPIs using DAX and centralizing data in a cloud repository.
  • Automated offline-to-online data entry via Python multithreading and Selenium, reducing manual processing by approximately 44 hours per 1,000 rows of data.

What I optimize for

Delivery in complex data environments depends on clarity, performance, and resilience. My default approach is to:

  • Start from an explicit stakeholder outcome and define a measurable success metric.
  • Engineer for reliability (guardrails, validations, and predictable runtime behavior).
  • Design for maintainability (modularity, readable logic, and clean handoffs).