CAPABILITIES / PLATFORMS & PRACTICE

Systems architecture.
Applied AI. Assurance.

I connect operational records, build applications, and examine what control evidence supports. The labels below distinguish hands-on implementation, integration work, engineering practice, and security assessment.

Enterprise integrations

Connect records without losing status or ownership. See the implementation approach ↗

  • Vanta

    Integration

    API connections for compliance records and evidence workflows.

  • Hyperproof

    Integration

    API connections and shared operational reporting.

  • Snowflake

    Integration

    Data work supporting Hyperproof reporting and enterprise operating views.

  • PostgreSQL

    Engineering practice

    Relational data supporting applications and integrations.

  • Jira

    Integration

    Work-tracking records connected to enterprise workflows.

  • Salesforce

    Integration

    Business records connected to enterprise workflows.

  • PowerShell

    Engineering practice

    Scripting and automation for operational reporting.

  • MongoDB Atlas

    Platform context

    The database platform in Vanta’s published architecture.

    Read Vanta’s architecture account ↗

AI development

Retrieval and persistent context support the private workbench; potential gaps remain leads for human review. Inspect the workbench scope ↗

  • Python

    Engineering practice

    Application development and integration work.

  • Amazon Bedrock

    Implementation

    Model access in the private AI workbench.

  • Claude

    Implementation

    Model use through Bedrock in the private AI workbench.

  • APIs

    Implementation

    Programmatic connections between data sources and applications.

INDEPENDENT MEMORY RESEARCH

Axiom · Context outside a single model.

My private implementation uses a source journal, derived indexes, provenance, and human approval boundaries. I rebuilt embeddings and resumed context through another service in my own setup. The public examples explain the architecture with synthetic records.

Read the migration account and inspect the examples ↗

Additional AI practice

Models and development tools used in broader experimentation.

  • ChatGPT / Codex

    AI practice

    AI-assisted development and model/tool practice.

  • Gemini · Qwen · Kimi · DeepSeek · Llama

    AI practice

    Broader model exploration and tool practice.

  • Amazon Titan / Snowflake Arctic embeddings

    AI practice

    Embedding models used in retrieval and memory practice.

  • Ollama

    AI practice

    Local model tooling.

Cloud & infrastructure

Development, delivery, and the environments around an application.

  • AWS

    Engineering practice

    Cloud development and the Bedrock-based workbench.

  • Microsoft Azure

    Cloud platform

    Cloud platform in my broader technology scope.

  • Docker

    Engineering practice

    Containers for development and delivery.

  • Kubernetes

    Engineering practice

    Container orchestration in systems and infrastructure practice.

  • HashiCorp Terraform

    Engineering practice

    Infrastructure as code.

  • GitHub

    Engineering practice

    Version control and software collaboration.

  • Jenkins

    Engineering practice

    Delivery automation.

  • SQL

    Engineering practice

    Querying and working with structured data.

Identity & security

Tools examined through control-assessment work. These labels describe assurance experience, not a claim of administering every platform.

  • Okta / Auth0

    Control assessment

    Identity, authentication, and access controls.

  • Fastly / Gloo

    Control assessment

    Edge, application, and gateway infrastructure.

  • Zscaler

    Control assessment

    Network and access security.

  • Snyk

    Control assessment

    Application security tooling.

  • Splunk

    Control assessment

    Logging and monitoring.

  • CrowdStrike

    Control assessment

    Endpoint security.

  • Stacklet

    Control assessment

    Cloud governance.

What each experience label means.

Implementation
Used in the implemented workbench or related software.
Integration
Connected in enterprise data and compliance workflows.
Engineering practice
Part of hands-on development, infrastructure, or delivery work.
Control assessment
Examined through security and assurance work.
Cloud platform
Part of the broader cloud technology scope.
AI practice
Used in broader model or tooling experimentation.
Platform context
Vendor architecture relevant to an integrated platform.

Put the tools in context.

Inspect a working public example, or discuss the system and contribution you have in mind.

Inspect Assurance Navigator’s synthetic demo ↗ · Read my professional background ↗

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