Implement trading system enhancements by developing code in C++ and Python and writing unit tests in Python, SQL and Bourne shell

Assist in managing course infrastructure and facilitating student communication for CS 222 - Software Design Lab

• Automated commercial card manual reconciliation process using Python and Pandas, significantly reducing processing time from ~6 minutes to ~0.2 minutes per account

• Collaborated closely with analysts to translate complex reconciliation logic into efficient, accurate code with thorough pytest unit testing, ensuring alignment with business requirements

• Received a return offer for the full-time JPMorgan Chase & Co Software Engineer Program in Chicago, Illinois

• Built and tested E2E data pipeline for processing batch files from Amazon S3 using Databricks, Python, and SQL, as part of a data pipeline modernization proof of concept (POC)

• Improved runtime of existing ETL by 90%, collaborating in a team of five and practicing agile methodology