Isaac Matthew

Data Engineer

Role
Data Engineer at LexisNexis
Location
Cincinnati, OH, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Isaac Matthew

Innovation, Development and Performance Analysis.

Experience

  1. Data Engineer

    LexisNexis

    Jan 2007 — Present · Dayton, OH, US

    Research, design, and data engineering assignments within a specific engineering functional area or product line. • Involved in the full lifecycle development of generative AI applications including requirement gathering, architectural design, implementation and development. • Research, build and deploy Machine Learning (ML), Natural Language Processing (NLP) Large Language Model (LLM) applications for legal research including RAG applications for legal drafting.• Implemented in all aspects of the data Engineering/ETL agile development process including creating and improving CI-CD Pipelines using Jenkins. Developed and maintains pipelines for real-time data extraction and ingestion.• Contributed to Proof of Concept (POC) design, and implementation of new products. Communicated and presented design and implementation plans to product teams, clients and stake holders.• Profound experience in OpenSearch Cluster management including data processing, enrichment, embedding and ingestion. Involved in the implementation of search and retrieval and, fine-grained access control of OpenSearch indices. • Worked with international teams delivering legal research products for UK, Canada, South Africa, New Zealand, Australia, and Asia Pacific.• Collaborated with cross-functional team of Data Scientists, Data Engineers, Developers and, SMEs from UK, Canada, China, Philippines, and India for extracting legal content and by designing and implementing ETL workflow for developing generative AI solutions for legal research. • Creating Splunk dashboards, CloudWatch and Splunk alerts for performance monitoring, cloud asset governance and cost management of applications, assets and services for senior management and cross-functional teams.• Fine-tuned ML platforms and services through research, QA testing using NeoLoad and in-depth data analyzing using performance monitoring tools to eliminate 5xx and 4xx inference errors.

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Isaac Matthew — Data Engineer at LexisNexis in Cincinnati, OH, US | Unifers