- Resolved data discrepancies that occurred between SQL databases

- Developed AI/ML initiatives that would allow the Fed to modernize internal processes.

- Developed an NLP project that found customer pain points within the treasury department from thousands of emails and was used as feedback for improvement to provide a better experience to its customers.

- Developed Computer Vision AI software to improve flow and security for high-risk areas.

- Second developer to join the team, Wore multiple hats.
  - Optimized model selection and usage.
  - Developed a host of tools and frameworks to help create empirical
    metrics and analyzed performance throughout the data pipeline.
  - Contributed to finetuning Computer vision models.
  - Contributed to development of low overhead Computer vision algorithm
    that detect and analyze information from overhead cameras.

- Building a SaaS platform that reveals actionable insights in a simple, but meaningful format from a company’s textual data.

- Using Generative AI, we provide tailored solutions for detected issues.

- Developed the core automated data processing pipeline for platform in python.
  - Includes data integration, data cleaning, data manipulation,
    model interaction, clustering, insight detection, and API.
  - Focused on finding a good balance of traditional NLP and LLMs to
    provide the best performance while cutting costs and time.