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Andrew Caietti

San Diego

Analytics and Machine Learning
solutions engineer

Skills
  • Python
  • Tableau
  • AWS
  • HTML
  • CSS
  • SQL
  • Git
  • JavaScript
  • Node
  • R
  • Salesforce
  • Snowflake
Education
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    William & Mary BS in Applied Mathematics Honors, Cum Laude
Volunteer Experience
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Salesforce Foundation Pro-bono work with Big Picture Learning, an education non-profit, architecting AI Agent usecase and implementation.
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Upchieve Tutor children virtually from underserved communities in mathematics.
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William & Mary Collaborated to design and execute William and Mary’s new student orientation program; Designed and executed Model UN conferences for Middle and High school students.
  • Salesforce Logo

    August 2021 - Today

    Senior Solutions Engineer

    Salesforce

    Technical Competency
    Architected analytics and machine learning solutions aligning enterprise customers’ business and IT requirements with the Salesforce Suite, integrating with enterprise systems such as Snowflake and Amazon S3.

    Developed LLM-based Agents to increase enterprise customers’ case deflection by 32% by optimizing data pipelines and integrating LLM providers, including OpenAI, Anthropic, and custom fine-tuned models.

    Developed Python-based tooling for Solutions and Architect teams to improve data quality of customer-facing product demonstrations through Salesforce APIs.

    Leadership & Collaboration
    Delivered over $6 million in ACV with +31% YoY growth, contributing to $36 million across Salesforce products.

    Lead our Voice of the Customer program partnering with 10 Product Managers and 45 Solutions Engineers to prioritize product roadmap with customer feedback and quantify product feature requests.

    Produced client workshops, proof of concepts, and product demonstrations for top enterprise and commercial manufacturing, automotive, and energy technical and executive audiences.

    Lead technical enablement internally for over 150 Solutions Engineers on the technical backend and best practices of developing custom machine learning models, data visualization, and LLM-based Agents in Salesforce and Tableau.

    Public Speaking & Thought Leadership
    Presented at Dreamforce to a developer audience on architecting and building LLM-based Agents in Salesforce.

  • Research Logo

    October 2018 - May 2021

    Research Assistant

    William & Mary Department of Mathematics

    Leveraged natural language processing techniques to classify text sentiment, optimizing transformer-based model performance by +29% in Python.

    Developed SQLite3 relational database and schema, warehousing more than 50 columns and 400,000 rows of Clinical Trial and Twitter data for use in text classification and general research.

    Applied mathematical models to simulate biological interactions between neurons in Python, analyzing trends in neuronal activity over time in infant mammals with Professor Mainak Patel.

  • Tableau Logo

    May 2020 - August 2020

    Solutions Engineer Intern

    Tableau Software

    Engineered demo data within an Extract, Transform, and Load workflow to curate for visualization in product demos.

    Developed a custom web data connector for flight data using a REST API and Python for a customized product demonstration, standardizing the demonstration for repeat use by the Solutions Organization.