Overview

AI/ML, cybersecurity, Splunk engineering, and SOC modernization. One page.

chris@cat-ai: ~ cat overview.md
chris@cat-ai ~ $ cat overview.md

Chris Turner

AI/ML, Cybersecurity & Splunk Engineering

Agentic systems, RAG pipelines, threat detection, Splunk engineering, and SOC modernization across regulated industries. End to end.

Generative AI & Agentic Workflows

LangGraph / Redis MCP / OpenSearch / LangChain / Bedrock

  • Designing agentic systems with MCP memory, RAG pipelines, and prompt orchestration for enterprise AI

AI/ML-Augmented Threat Detection

Splunk / OpenSearch / Bedrock / LangChain / LangGraph / Redis MCP

  • RAG, agentic workflows, vector databases, Generative AI, and LLM integration applied to security analytics

AI Engineering & Automation

Python / FastAPI / Terraform / Docker / GitHub Actions / Glue / Kinesis / Iceberg / Spark

  • Building end-to-end AI pipelines with containerized MLOps and IaC automation for scalable deployment

Security Analytics & Engineering

MITRE ATT&CK / SIEM / SOAR / CrowdStrike / Tenable / SailPoint

  • Threat hunting, IAM, UBA and UEBA, detection engineering, threat intelligence, fraud analytics, and OSINT

Cloud-Native AI Platforms

AWS (EKS, SageMaker, Bedrock, OpenSearch) / Kubernetes

  • Architecting hybrid AI stacks for RAG, inference, and cognitive search with unified monitoring and cost control

Cloud, Data & Platform Security

AWS Glue / SageMaker / Fraud Detector / OpenSearch / Terraform / Docker / EKS

  • Data lakes, Iceberg, Kinesis, CI/CD automation, MLOps, model observability, and secure cloud architecture

SPLUNK ARCHITECTURE & ENGINEERING

Platform Engineering

Splunk Enterprise / Splunk Enterprise Security (ES)

  • Architecting enterprise-scale Splunk environments covering indexer clustering, search head architecture, and forwarder management
  • Advanced detections, correlation searches, dashboards, and SPL logic that turn data into actionable security insights
  • Data onboarding, CIM normalization, and ingestion pipelines integrating cloud, endpoint, and identity telemetry
  • Automated deployment and configuration using Terraform, Git-based workflows, and modularized app packaging

AI/ML & AWS Integration

SageMaker / Bedrock / Glue / Kinesis

  • Extending Splunk with AI/ML pipelines and Generative AI for anomaly detection, enrichment, and natural-language search
  • Retrieval-Augmented Generation (RAG), LLMs, and agentic Splunk bots for real-time incident analysis and context-aware search

EXPLORE MORE

  • Full skill set at cat-ai.io/skills

GITHUB PROJECTS & CODE REPOSITORIES

$Javante AI: Business AI Hub

Generative AI platform integrating Redis MCP, LangGraph, and OpenSearch for conversational RAG, semantic memory, and enterprise automation.

$PwC AI/ML & GenAI-Augmented Splunk

Unified Splunk, AWS Bedrock, and OpenSearch for LLM-driven correlation, automation, and real-time summarization.

$Legal AI Assistant

Kubernetes and OpenSearch 3.2 platform for legal research using hybrid retrieval (BM25, dense vectors, cross-encoders) and dual memory for auditable, compliant search.

AWS WORKSHOPS, SKILL BUILDER & PARTNERCAST

$reInvent 2024: Intelligent Document Search

Built an OpenSearch and Amazon Bedrock RAG app using Knowledge Bases and vector engines for enterprise document intelligence.

$reInvent 2024: Prepare Your Data for GenAI

Demonstrated a healthcare-focused RAG chatbot emphasizing governance, lineage, and secure data transformation.

$AI-Driven Cyber Insights: GenAI for Splunk

Applying Generative AI and ML to Splunk security analytics with OpenSearch and SageMaker for conversational security insights.

$OpenSearch Security Analytics

Unified SIEM integrating Splunk and OpenSearch with OCSF normalization for real-time detection and automated response.

$Advanced Fraud Detection with AWS

Real-time fraud detection with MSK, Kinesis, OpenSearch, and Fraud Detector for streaming analytics and AI-driven risk scoring.

$Skill Builder & PartnerCast

Global enablement on LangGraph, Bedrock Knowledge Bases, and RAG architectures for partner-scale AI adoption.