I build big data platforms — from infrastructure to semantic layers — and have spent the last few years exploring how LLM-powered multi-agent systems can make analytics faster and more honest. Mostly working with AWS, Snowflake, Databricks, and Python.
Eleven flagship projects across five companies — grouped into two product tracks per company, each with numbered workstreams. Hover any company below to see the full project breakdown in Experience.
mindmap
root((11 Flagship Projects))
FPT Canada
P1 Click-stream Web Analytics
200B+ Omni-Channel Ingestion
10M-Entity MDS
Self-Serve Data Platform
Omni-Channel Dashboard Rebuild
P2 Financial Auditor and Alerting
MADA 6-Agent LangGraph
Copilot-MCP VS Code Extension
Revenue Leakage Audit
Tyme GOTyme Bank
P1 Banking Business Products
Personal Lending
ID Payment
Bancassurance
Architect Community Lead
P2 Infrastructure
Cert Pinning 1M users
Integration Patterns
500M Tx Pipeline
P3 Analytics
Snowflake DW 2B
Databricks Delta 50M
NFQ Asia
P1 SEO Keyword Analytics
NLP at 30TB
Serverless 50K req day
P2 PoS Serverless API
Lambda PoS Device API
Event-Driven Pipeline
Auto-Scaling Cost Control
NashTech Global
P1 Banking Insurance KYC
P2 Process and People
FPT Software
P1 DirecTV Delivery
P2 Cebu Dev Center and Training
From training engineers in Vietnam & the Philippines to leading AI data engineering in Canada.
timeline
title 17+ Years in Engineering Leadership
2009 : University Lecturer (DNTU / NLU)
2014 : FPT Software - Training Manager / Solution Architect (PH and VN)
2016 : NashTech Global - Principal Engineer / Architect
2017 : NFQ Asia - Technical Architect (NLP at 30TB)
2019 : Tyme / GOTyme Bank - Architect Community Lead (1M+ users)
2021 : FPT Canada - Data Engineering Lead (200B+ events, LangGraph agents)
Six pillars across AI, data, cloud, and security.
mindmap
root((Vinh X. Nguyen))
AI Agentic LLM
LangGraph / LangChain
MCP
RAG and Vector DBs
Anomaly Detection
Data Modeling
OLTP / OLAP 200B+
Star / SCD
Data Vault 2.0
Medallion
Data Engineering
Spark / Databricks
Kafka / Kinesis
Snowflake / Delta Lake
Lambda / Sagemaker
Cloud
AWS Full-Stack
Snowflake
Databricks
Terraform / CFN
Analytics
Tableau / PowerBI
Datadog / Grafana
NLP TF-IDF
Security
PKI / Cert Pinning
Cryptography
WAF / IAM
Event-driven
FPT Canada — LLM agents auditing $1.5B in financial transactions.
flowchart LR
Tx[(Transactions DW)] --> Orchestrator{LangGraph Orchestrator}
Orchestrator --> Rules[Rules Agent]
Orchestrator --> Stats[Statistical Agent]
Orchestrator --> LLM[LLM Reasoning Agent]
LLM --> RAG[(Policy RAG / Vector DB)]
LLM --> MCP[MCP Tools to DBs]
Rules --> Reviewer[Reviewer Agent]
Stats --> Reviewer
LLM --> Reviewer
Reviewer --> Human[Human-in-the-Loop]
Reviewer --> Cases[(Case Store)]
FPT Canada — 99.97% enrichment quality across AWS, Snowflake, Databricks.
flowchart LR
Sources[(Sources)] --> Stream[Kinesis / Kafka]
Stream --> Bronze[S3 Bronze]
Bronze --> Spark[Spark on EMR / Databricks]
Spark --> Silver[S3 Silver / Delta]
Silver --> Gold[S3 Gold / Delta]
Gold --> SF[(Snowflake DW)]
Gold --> Glue[Glue Catalog]
SF --> BI[Tableau / PowerBI / QuickSight]
Spark --> QA[Quality and Reconciliation]
QA --> Alerts[CloudWatch / Datadog]
GOTyme Digital Bank — mitigating MitM at mobile-banking scale.
flowchart LR
CA[Internal CA / PKI] --> Cert[Server Cert + Backup Pin]
Cert --> SDK[Mobile SDK]
SDK --> App[Banking App 1M+ users]
App --> API[(Banking APIs)]
Rotation[Rotation Pipeline] --> Cert
App --> Telem[Telemetry / Crash Analytics]
Telem --> Flags[Feature Flags / Staged Rollout]
NFQ Asia — in-store PoS hardware integrated with auto-scaling AWS backend.
flowchart LR
PoS[PoS Devices] --> APIGW[API Gateway]
APIGW --> Lambda[AWS Lambda Edge API]
Lambda --> SQS[SQS Queue]
SQS --> Worker[Lambda Worker]
Worker --> DDB[(DynamoDB)]
Worker --> EB[EventBridge]
EB --> DWH[(Warehouse / Analytics)]
Lambda --> CW[CloudWatch / Alarms]
AI-generated answers grounded in Vinh's resume & this site. May contain errors.