> SYSTEM STATUS: OPTIMAL

Engineering Scalable
Automated Architectures.

Specializing in Kubernetes orchestration, CI/CD automation, and building self-healing infrastructure for high-performance enterprise environments.

15%

MoM Cloud Cost Reduction

K8s

Production Clusters

100TB+

Data Systems Architected

TECHNICAL STACK

Core Competencies

Container Orchestration

  • Kubernetes (EKS/GKE)
  • Docker & Helm Charts
  • Service Mesh Architecture

Automation & CI/CD

  • Infrastructure as Code (Terraform)
  • GitHub Actions / Jenkins
  • Automated Policy Compliance

Cloud Architecture

  • AWS / GCP / Azure
  • Serverless (Cloud Run/Lambda)
  • FinOps & Cost Governance

Data Engineering

  • Unstructured Data Forensics
  • OCR & Search Pipelines
  • Vector Databases (RAG)
CAREER TRAJECTORY

Professional Experience

LTN GLOBAL 2024 — PRESENT

Development Technical Manager

Leading modernization of global media delivery systems. Implemented automated cost-governance policies reducing AWS spend by >$275k/year.

AWS Automation Team Leadership FinOps
ELSEVIER 2022 — 2023

System Engineer IV

Architected and deployed SciBite semantic search platforms on Kubernetes. Automating deployment pipelines for high-availability environments.

Kubernetes Helm Terraform
R&D LABS

Active Projects

Epstein Datastore V2

Automated forensics pipeline to ingest, OCR, and index unstructured legal discovery documents for entity resolution.

Data Pipelines OCR Automation Link Analysis

Enterprise AI Agents

Developing secure RAG agents to automate internal knowledge retrieval, allowing teams to query proprietary docs via natural language.

GenAI Automation LLM Vector DB

Cloud Infrastructure Ops

Full-stack "scale-to-zero" serverless architecture using Cloud Run, managed via Terraform for reproducible infrastructure.

Terraform GCP Cloud Run Docker