• Designed and implemented high-performance real-time data pipelines, processing thousands of records per second - Kotlin, Apache Flink, AWS Timestream, Snowflake, Apache Kafka

• Optimized data pipelines to batch records, achieving a ~98% reduction in cost per record and a ~99.8% decrease in upload time

Developed custom software in Python and Matlab to format and analyze time-lapse video data for object tracking, resulting in compelling data visualizations.

• Developed a data pipeline to automate data retrieval and form filing – Python, YML

• Researched and presented a project comparing genetic datasets of legume species to

determine gene relationships

• Developed data solutions in Java and Python, including collecting, formatting, and storing API data, and created visualizations for a critical grant proposal

• Awarded travel stipend for Pacific Symposium on Biocomputing (PSB), Kona, Hawaii - 2023

• Presented research poster at PSB for 100+ attendees - 2023