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David Jones

@davidjones4

AI Engineer at Planet 13 building RAG pipelines for regulatory compliance with Recall@5 approaching 90% on labeled evaluation queries.

United States
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At Planet 13, I engineer Python ETL/ELT pipelines that process regulatory documents for analytics and RAG workflows, with source-specific extraction, validation, incremental change detection, and lineage tracking.

I developed production RAG pipelines for multi-state regulatory compliance using Pinecone and Weaviate. On labeled evaluation queries, Recall@5 approached 90% with citation-grounded retrieval and jurisdiction-aware metadata filtering.

I implemented agentic AI workflows with LangChain, LangGraph, and CrewAI, and built asynchronous AI services and REST APIs using FastAPI and Node.js. These services integrate PostgreSQL, MongoDB, and vector databases.

I deployed containerized AI services on Google Cloud Platform and integrated Ragas, DeepEval, LangSmith, and OpenTelemetry to evaluate retrieval quality and trace execution. Previously, as a Comm. Tech 4 at Comcast, I worked in network operations and collaborated with Plant Operations on network infrastructure.

Experience

Work history, roles, and key accomplishments

PL
Current

AI Engineer

Planet 13

Jan 2020 - Present (6 years 10 months)

Engineered Python ETL/ELT pipelines orchestrated with Apache Airflow, processing approximately 50,000 regulatory documents per batch. Developed production RAG pipelines using Pinecone and Weaviate for multi-state regulatory compliance, and implemented agentic AI workflows using LangChain, LangGraph, and CrewAI.

Education

Degrees, certifications, and relevant coursework

University of Phoenix logoUP

University of Phoenix

Bachelor of Computer Science, Computer Science

Pursued a Bachelor of Computer Science, with graduation expected in April 2025.

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