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Aurora Koch-Pongsema

@aurorakoch-pongsema

Senior Software Engineer at WorkStep who built employee feedback applications and data visualizations for enterprise customers.

United States

Message

At WorkStep, I designed and maintained Python services and APIs that collected, aggregated, and reported employee feedback data for enterprise customers.

I also built responsive interfaces with React and TypeScript, taking features from concept through production release. I contributed to the migration from legacy REST workflows to a single-page architecture with asynchronous Python services.

At JPMorgan Chase & Co., I developed Python applications for financial risk reporting and optimized SQL-backed data models and queries. Earlier, at Research Foundation of CUNY, I developed Python scripts for data ingestion, transformation, and simulation workflows.

Experience

Work history, roles, and key accomplishments

Senior Software Engineer

WorkStep

Apr 2022 - Nov 2024 (2 years 7 months)

Designed, built, and deployed scalable, cloud-based applications that collected, processed, and visualized employee feedback data for enterprise customers. Owned features from concept through production release, including Python backend services, React frontends, and CI/CD pipelines.

Python React TypeScript Redux Material UI Storybook Figma Docker Google Cloud Platform CI CD CircleCi REST APIs Data Visualization Scrum Mentorship

Software Engineer

JPMorgan Chase & Co.

Jul 2016 - Mar 2022 (5 years 8 months)

Developed and maintained time-sensitive financial risk reporting applications used by internal stakeholders. Built Python-based applications and backend services for complex data processing and reporting, and optimized SQL-backed data models.

Python SQL Data Processing Reporting Mentorship Sprint Planning

Research Assistant / College Assistant

Research Foundation of CUNY

Jun 2015 - May 2016 (11 months)

Developed Python scripts for data ingestion, transformation, and simulation workflows. Reviewed code and supported peers with debugging and technical guidance.

Python Data Ingestion data transformation Simulation Code Review Debugging