Experience

• Software Developer (AI Trainer)

  Feb 2024 - Present

  • Analyzed multiple Gen-AI model responses regarding Data Structures, Mathematics, Data Analysis, Data Generation, and Error Recognition to improve the accuracy and usefulness of each model.
  • Validated different data visualizations created by Gen-AI models, resulting in improved user data analysis and understanding.
  • Crafted diverse coding challenges and solutions using Python, Java, C#, and C++ to promote better coding practices, detailed commentary, and readability within the Gen-AI models.
  • Reviewed Gen-AI metadata to find potential points of failure between a user’s request and a model’s response.

• Salesforce Developer / Domo Specialist (Data Engineer)

  Feb 2020 - Apr 2023

  • Created custom data visualizations using the Domo and Salesforce platforms with tools such as Tableau CRM, enabling data analysts to quickly extract valuable insights with configurable pages, graphs, and filters.
  • Primarily responsible for the maintenance, optimization, and security of 8 dashboards and 13 major data pipelines, with an estimated 200+ data sources.
  • Created dataflow pipelines to clean and transform raw data from connections such as ODBC, Google Analytics, Adobe Analytics, Facebook Ads, and Amazon S3 buckets into usable insights within Domo or Tableau CRM.
  • Optimized queries in SQL, MySQL, AWS Redshift, SAQL, and ETL tools for quick data retrieval and improved operational performance, resulting in a reduction in dataflow response time.
  • Created a custom admin dashboard that would identify different errors throughout the Domo platform and send notifications when these errors are discovered.
  • Maintained an in-house React and .NET application that retrieves data through the Domo API, allowing users to identify the origin of their data for error detection, metric validation, and team communication.

• Data Scientist

  May 2019 - Aug 2019

  • Utilized the ggplot and plotly libraries in R to create interactive plots and graphs which were customized for food and patient data, assisting researchers in studying ketones and glucose levels efficiently.
  • Developed custom programs in R to assist in microbiome and biochemistry research workflows by managing the storing, organization, and analysis of patient data for reproducible results and visualizations.
  • Implemented data validation processes in R to identify duplicate or incorrect patient records, improving data accuracy and supporting diet effectiveness research.