Newton (Nick) Duong - Technical Lead & Architect

About Me

Results-driven Technical Lead and Architect with extensive experience designing and integrating enterprise-level systems. Proven expertise in cloud platforms (Azure, AWS, GCP), AI/ML tools (Ollama, DeepSeek), and modern frameworks (Spring, ReactJS, NodeJS).

I am passionate about AI, new technologies, process improvement, team leadership, and delivering scalable, innovative solutions. Currently focused on modernizing AEFW Framework Apps to SpringBoot using various AI tools including Ollama models and DeepSeek-CoderV2 for code refactoring and modernization.

My technical skills include:

Languages: Java, Python, JavaScript
Cloud Platforms: Amazon Web Service, Google Cloud Platform, Microsoft Azure
AI/ML Tools: Cursor, Claude Code, Copilot, LM Studio, N8N
LLM: Claude, ChatGPT, Gemini, Ollama, DeepSeek, Phi4, Gemma
AI Skills: Prompt Engineering, Vibe Coding, LLMOps
Frameworks: Spring Boot, ReactJS, NodeJS
DevOps: GitHub Actions, Jenkins, Octopus Deploy, UDeploy

Projects

GCP Graph RAG - Cloud Run - NEO4J

GraphRetrieval Augmented Generation systems running on Google Cloud Run with NEO4J.

GCP Cloud Run - GraphRAG
A/B Performance Test Dashboard
LLMOps Dashboard
Architecture Diagram

Medical Billing System - Amazon Web Service

Medical Billing System with React frontend (Cloudfront), Python API server (Lambda), and Sqlite DB. Also Audit tab use Claude (Sonnet 4) and other LLMs to audit claim.

Medical Billing System - AWS
Architecture Diagram

Medical Billing System - Linux/Mac Mini

Medical Billing System with React frontend, Python API server, and Postgres DB. Also Audit tab use Ollama LLM to audit claim.

Medical Billing System - Linux/Mac Mini
Architecture Diagram

Google Cloud RAG - Cloud Run

Retrieval Augmented Generation systems running on Google Cloud Run.

GCP Cloud Run - RAG
Architecture Diagram
GCP Cloud Run - RAG v2
Architecture Diagram

RAG Systems

Retrieval Augmented Generation systems for enterprise knowledge management, combining vector databases with LLM capabilities. (Simple resume RAG and two ACTUARIAL STANDARD OF PRACTICE (ASOP) RAG with different embedding models.)

RAG Resume
Resume Diagram
RAG ASOP - MiniLM
RAG ASOP - BGE-M3
ASOP Diagram

Context /Cache Systems

Context/Cache Augmented Generation systems for enterprise knowledge management, combining vector databases with LLM capabilities. ( ACTUARIAL STANDARD OF PRACTICE (ASOP) CAG with different embedding models.)

Context Augmented Generation
System Architecture Diagram
Cache Augmented Generation
System Architecture Diagram

Resume

My professional resume detailing 20+ years of experience in enterprise architecture and technical leadership.

View Resume

OpenWebUI

Open Web UI installed on Dell Zeon 64 GB RAM and Mac Mini M4 16 GB to compare response time for ollama modules.

Dell Linux Server
Mac Mini M4 Server
View Diagram

React (Demo)

Sample React JS demo.

React Sample
System Architecture Diagram
CI / CD Self-Hosted Diagram
Component Interaction Diagram

Medical Billing System - Amazon Web Service - Decommissioned

Medical Billing System with React frontend, Python API server, and Postgres DB. Also Audit tab use Claude (Bedrock)) to audit claim.

Medical Billing System - AWS
Architecture Diagram

Duong.casa

Project duong.casa site is an example of continuous integration and continuous delivery (CI/CD).

Github Project
CI / CD SSH Deployment Diagram

Ollama Chatbot

A custom-built enterprise chatbot leveraging Ollama's open-source AI models for natural language processing and contextual responses.

Explore Project
View Diagram

MCP (Java SDK)

Model Context Protocol system with (MCP) Java SDK to retrieve time.

More info on MCP...
View Diagram

Servers Specifications

Dell PowerEdge T140

Intel(R) Xeon(R) E-2226G CPU @ 3.40GHz

64 GB RAM

1 TB HD

Linux Rocky 9.5

NGINX

Mac Mini M4

Apple M4 Chip

10-core GPU

16 GB RAM

256 GB SSD

MacOS Sequoia 15.4