Hire William B. - LLM Engineer - Remote

– Implemented Named Entity Recognition services using OpenAI, and Elasticsearch to enrich live-stream data and deliver real-time entity insights. – Experiment with multiple LLM approaches, including RAG, on-prem deployments, and closed-source models, to evaluate performance across different business metrics. – Develop and integrated APIs connecting company databases with Elasticsearch and Neo4j (GraphQL) for interactive entity relationship exploration. – Maintain and optimized the existing codebase, improving performance and reliability through GitHub Actions, Kubernetes, and targeted service refactoring

– Developed 7 client-agnostic applications using Python, Dash, AWS Services, saving 4,600+ hours of productivity. – Led data science initiatives and cross-functional teams to create scalable analytics solutions, including regression models and LLM-based procedures to extract insights and optimize global marketing spend. – Modernized analytics tools by migrating Python codebases to React, leveraging Figma, Postman, and REST APIs to improve performance and maintainability.

* – Lead author of the research Machine Learning Applications to Improve Pore Pressure Prediction in Hazardous * Drilling Environments, published at OnePetro. * – Developed time series and physics hybrid-models for drilling measurement predictions, reducing reliance on costly * logging tools and saving clients over $200,000. * – Built a Python pipeline to clean and standardize data, streamlining preparation across clients