Chicago, IL

JP Neville

AI/ML portfolio: systems I built and shipped.

This site showcases selected projects where I led architecture and stayed hands-on through implementation.

I focus on practical AI systems, measurable outcomes, and reliable delivery. Client identities and sensitive details are intentionally anonymized.

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Selected Work

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  • Enterprise GenAI Retrieval Platform

    Built in a financial-services context to migrate clients from a legacy index to OpenSearch, support vectorized document retrieval at multi-tenant scale, and improve front-end search performance for frequent daily usage.

  • Internal Multi-Agent Research Platform

    Built an internal deep-research platform at Inspire11 to give teams reusable, agentic research capabilities for faster and more structured analysis.

  • Client Agentic Research Accelerator

    Client-side initiative within the same ecosystem as the OpenSearch retrieval platform, focused on document insights extraction and prompt-chain workflows for consulting and proposal support.

Current Role

Managing Consultant at Inspire11

Portfolio is public-facing; client specifics are omitted by design.

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About

I combine technical architecture leadership with direct implementation. I focus on solving business-critical problems in retrieval, agentic workflows, and production ML systems.

I prioritize measurable outcomes, reliable delivery, and clear communication with technical and business stakeholders.

Featured Projects

Prioritized from repository data

Enterprise GenAI Retrieval Platform

Built in a financial-services context to migrate clients from a legacy index to OpenSearch, support vectorized document retrieval at multi-tenant scale, and improve front-end search performance for frequent daily usage.

What I built

  • Designed and implemented a multi-tenant retrieval architecture on AWS for hundreds of client tenants.
  • Led migration planning and execution from a legacy index to OpenSearch.
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Internal Multi-Agent Research Platform

Built an internal deep-research platform at Inspire11 to give teams reusable, agentic research capabilities for faster and more structured analysis.

What I built

  • Built an internal deep-research platform used across the company.
  • Implemented a multi-agent architecture with 12 custom agents for orchestration and quality gating.
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Client Agentic Research Accelerator

Client-side initiative within the same ecosystem as the OpenSearch retrieval platform, focused on document insights extraction and prompt-chain workflows for consulting and proposal support.

What I built

  • Designed client-side agentic workflows for extraction and synthesis from document sets.
  • Implemented prompt-chain patterns to generate reusable insight outputs for consulting workflows.
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SageMaker Inference Platform & MLOps

Built production-ready ML deployment pipelines for client environments requiring repeatable inference operations, autoscaling, and versioned model lifecycle management.

What I built

  • Built production deployment workflows for text-classification and related ML models.
  • Implemented inference image build and deployment pipelines.
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Contact

If you want to discuss any project here, connect with me directly.

I occasionally share AI notes and build-process writeups from personal projects.

Looking for older work? Browse the project archive (3 projects).

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