Samuel Larson Email & Phone Number

Honored to work with great people on an exciting application of cutting edge technology

New York City Metropolitan Area

• Lead a team of 5 engineers to design and deploy custom AWS architectures for an AI application that pulls userpayroll and tax data then delivers customized tax and financial solutions supported by cited IRS publications
• Implement Retrieval-Augmented Generation (RAG) with Pinecone, Open Search, and Aurora vector DB's on AWSKnowledge Bases by scraping, chunking, enriching, embedding and vectorizing 2,400 IRS PDF publications.
• Utilize prompt engineering methodologies from Open AI and Anthropic documentation to tailor model behavior
• Leverage Anthropic tool use methodologies to make multiple vector databases and APIs accessible to a central model
• Fine-tuned Llama 70B model on AWS SageMaker using generated QA pairs in a feature extraction methodology

Darien, Connecticut, United States

-Optimized competitive price points for new merchants by using machine learning to predict 5 unit economics-Created a regression analysis using machine learning that predicted the percent of customers at a merchant who would be new to Klarna with 90 percent accuracy which was used to target growth merchants and mitigate risk-Worked with internationally.

Salt Lake City, Utah

-Focused on sourcing early-stage investments from Seed to Series B emerging technologies companies-Reached out to and interviewed CEOs and founders to collect KPI’s and analyze business models-Built and presented diligence decks to limited partners resulting in one deal with 5X return on investment

New York, New York

-Wrote content for 4 large clients including a leading automotive maker, a hotel brand, and a consulting firm-Conducted market research, evaluated competitive and market landscapes, and made strategic recommendations -Worked as part of a new business team to pitch and win a new contract with Citi Bank to redesign their app

Master Of Science - Ms, Computer Science

Completing courses in artificial intelligence, machine learning, computer science, and software development

Economics, Social Sciences, 3.85

Major: Economics (Econometrics & Data Science) Minors: Math, Media Arts (Screenwriting and Editing)

Exchange Programme, Macroeconomics, 70

Engaged in an intensive study of macroeconomic history, Nobel Prize laureate history, and distributional economics