• Developed an NLP-based machine learning model using clustering algorithms for automated election candidate mapping.

• Integrated GPT-3.5 for generating data-driven content around county level races using our internal election statistics.

• Increased test coverage from 0% to 70% through systematic implementation of unit and integration tests using Ruby’s minitest.

• Optimized PostgreSQL database architecture and query performance through table redesigns and codebase refactoring.

• Leveraged DataDog to monitor application reliability and investigate performance issues.

• Migrated databases from PostgreSQL to Snowflake, reducing infrastructure costs and processing time by 50%

• Architected custom ETL pipelines (using Python, Ruby, SQL) to ingest healthcare data sources.

• Collaborated with the Data Science team to improve forecasting models for healthcare metrics.

• Mentored other engineers through code reviews and pair-programming.

• Awarded Snowflake Data Engineering Certification.

• Spearheaded implementation of HIPAA-compliant single-tenancy solution for an enterprise client within a quarter.

• Implemented a DAG processing pipeline for data aggregation which improved data ingestion efficiency from a weekly to daily

cadence.

• Engineered a data synchronization algorithm using DAG and batch processing which reduced warehouse-to-application database

sync time by 80%

• Developed features for the internal data management web application using Ruby on Rails and React.

UTA for ECE 362 - Microprocessor Systems and Interfacing