Cloud Infrastructure & AI Platform Portfolio

Demarko Little | Cloud Infrastructure Engineer | DevOps | AI Platforms

Explore Enterprise AI

Professional Summary

Senior Cloud Platform Engineer with more than 20 years of enterprise infrastructure experience across federal environments, specializing in AWS cloud engineering, DevOps automation, platform reliability, Infrastructure as Code, containerized deployments, CI/CD, observability, and AI infrastructure. Proven ability to modernize complex systems, lead technical teams, strengthen operational resilience, and build secure, production-ready platforms that connect engineering execution with business outcomes.

About the Portfolio

Hands-on cloud, DevOps, and AI platform projects showcasing production deployments, Dockerized architectures, CI/CD automation, observability systems, SaaS-ready application design, Linux operations, AWS cloud engineering, and modern infrastructure workflows.

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AWS & Cloud Infrastructure

Deploying and managing cloud infrastructure in live production-style environments.

⚙️

DevOps & Automation

Building CI/CD pipelines, Dockerized deployments, Nginx reverse proxies, Linux services, and repeatable operational workflows.

🧠

AI-Powered Platforms

Designing AI-driven operational tools, executive dashboards, infrastructure intelligence systems, and SaaS-ready software platforms.

Current Projects

Explore the projects below to view source code, deployment workflows, observability systems, AI-powered platforms, and production-style engineering documentation.

FLAGSHIP PROJECT

OpsIntel

AI-powered Executive Infrastructure Intelligence Platform designed to transform operational infrastructure data into executive-level insights, readiness scoring, governance visibility, commercialization intelligence, and strategic decision support. Built with a modular SaaS-ready architecture supporting multi-tenant and future white-label deployment models.

AI SaaS Executive Intelligence Next.js TypeScript White-Label
View Repo

AI InfraWatch

Enterprise-style AI infrastructure observability platform demonstrating real-time telemetry, operational metrics dashboards, infrastructure topology monitoring, deployment history tracking, CI/CD pipeline visualization, AI incident analysis, Dockerized services, AWS EC2 deployment, Nginx reverse proxy integration, and GitHub Actions CI/CD automation.

AI Observability Docker AWS EC2 Nginx CI/CD
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AI Support Ticket Triage Platform

Production-style AI support ticket triage platform demonstrating Dockerized frontend and backend services, Docker Compose orchestration, AWS EC2 deployment, Nginx reverse proxy, GitHub Actions CI/CD, automated health validation, and rollback workflow support.

AI Docker AWS EC2 Nginx CI/CD
View Repo

Automated CI/CD Deployment Pipeline

Production-style CI/CD deployment pipeline demonstrating GitHub Actions automation, Dockerized application deployment, AWS EC2 hosting, Nginx reverse proxy configuration, deployment scripting, health validation, and security group hardening.

GitHub Actions Docker AWS EC2 Nginx CI/CD
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Dockerized AWS Web App

Production-style containerized web deployment demonstrating Docker, Docker Compose, Nginx reverse proxy, AWS EC2 hosting, Linux server administration, and security group hardening.

AWS Docker Nginx Compose Linux
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Cloud Resume Project

Production-style cloud deployment project demonstrating EC2 hosting, Nginx, HTTPS, GitHub Actions CI/CD, Docker, Amazon ECR, and ECS Fargate.

AWS Nginx CI/CD Docker ECS
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ENTERPRISE AI PORTFOLIO

Enterprise Retrieval-Augmented Generation

A progressive Enterprise RAG engineering portfolio demonstrating document ingestion, semantic retrieval, hybrid search, conversational memory, source attribution, production architecture, security, observability, and scalable AI platform design.

3Completed RAG Systems
1Production System in Progress
EnterpriseArchitecture Focus
End-to-EndRAG Engineering
COMPLETED

Mini RAG #1 — End-to-End RAG

Built a complete Retrieval-Augmented Generation pipeline that loads enterprise documents, divides content into chunks, creates vector embeddings, stores them in a vector database, retrieves relevant context, constructs grounded prompts, and generates source-supported answers.

PythonChromaDBEmbeddings Vector SearchFLAN-T5Source Attribution

Core capabilities

  • Document loading and chunking
  • Vector embedding generation
  • Semantic similarity search
  • Top-K context retrieval
  • Grounded answer generation
  • Source citation and attribution
COMPLETED

Mini RAG #2 — Enterprise Retrieval

Expanded the foundational pipeline into an enterprise retrieval system supporting multiple documents, metadata-aware search, department filtering, hybrid retrieval, result merging, re-ranking, retrieval evaluation, and production-style source attribution.

Hybrid SearchMetadata FilteringRe-ranking Keyword SearchRetrieval EvaluationTop-K

Core capabilities

  • Multi-document ingestion
  • Document and department metadata
  • Vector and keyword retrieval
  • Hybrid result merging
  • Enterprise re-ranking
  • Retrieval quality evaluation
COMPLETED

Mini RAG #3 — Conversational RAG

Engineered a conversational RAG architecture with session management, short-term and long-term memory, history-aware query processing, memory-aware retrieval, prompt orchestration, conversation windowing, and summarization.

Conversation MemorySession ManagementQuery Rewriting Memory RetrievalSummarizationOrchestration

Core capabilities

  • Conversation session management
  • History-aware query processing
  • Memory-aware document retrieval
  • Short-term memory windowing
  • Long-term memory summarization
  • Scalable memory orchestration
IN PROGRESS

Enterprise RAG #4 — Production RAG Systems

Extending the RAG portfolio into production engineering with secure deployment architecture, API services, containerization, monitoring, evaluation, reliability, access control, governance, operational support, and scalable enterprise infrastructure.

Production ArchitectureSecurityMonitoring DeploymentReliabilityGovernance

Production focus

  • Secure RAG service deployment
  • Application and retrieval monitoring
  • Production evaluation pipelines
  • Access control and data governance
  • Reliability and failure handling
  • Scalable operational architecture

Get in Touch

Contact me for collaboration, cloud engineering, DevOps opportunities, AI infrastructure projects, or SaaS platform development.

Email: dmrk_little@yahoo.com

LinkedIn: https://linkedin.com/in/demarkol