Rotem Eshed

About Rotem Eshed

Specializing in analytics and machine learning, with expertise in statistical modeling, predictive analytics, Large Language Models, and Generative AI (GenAI). Experienced in deploying full-stack GenAI applications across PoC and production environments, utilizing tools and frameworks such as Streamlit, Restful API (FastAPI), and React for front-end development. Recent focus has been on delivering GenAI-based solutions for external clients, covering both back-end and front-end development, user interface design, and GenAI strategy. Key projects include various document-based Q&A apps using retrieval-augmented generation (RAG), document summarization, code generation, speech-to-text and text-to-speech translation applications, and a GenAI-based recommendation application. Additionally, developed specialized GenAI tools for income statement analysis tailored for financial due diligence and valuation report reviews. Expertise also includes designing GenAI application architecture, defining overall GenAI strategy, and creating GenAI training materials for external clients. In addition to GenAI development, skilled in MLOps and DevOps, focusing on designing and implementing CI/CD pipelines for continuous integration and deployment of machine learning models. This includes automating workflows, versioning of models, testing, and monitoring production systems to ensure scalability, and reliability.

Experience

1. Senior Manager - Data Analytics & Ai

   PwC

   Jul 2024 — Present

Education

• Georgia Institute of Technology

  Master's degree

  2019 — 2021

• William Paterson University of New Jersey

  Bachelor of Science (BS)

  2013