• August 2021 – Today

    Lead Specialist Solutions Engineer

    Salesforce (Tableau)

    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 agent solutions that improved enterprise case deflection by 32%, integrating OpenAI & Anthropic.

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

    Volunteered 80+ hours through Salesforce's Pro-Bono program with an education nonprofit, helping design AI and RAG-based workflows to connect underprivileged students with internships and apprenticeships.

    Leadership & Collaboration
    Delivered over $17 million in ACV with +31% YoY growth and 41% Win Rate, contributing to $52 million ACV across Salesforce products.

    Lead our Voice of the Customer program partnering with 61 Product Managers and 400 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 250 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.

    Ranked among the top 1% of Solutions Engineers at Salesforce, named Specialist SE of the year for FY26.

    Public Speaking & Thought Leadership
    Presented at Dreamforce and Tableau Conference on architecting agentic AI systems, applying AI to analytics workflows, and monitoring CI/CD for agents in production.

  • 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.

  • 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.