Hi, I'm Hong Quang A DevOps / AI Platform Engineer

Leadership & AI-Driven Work Culture (Tech Lead)

• Served as Tech Lead of the AI team, responsible for technical direction, architecture decisions, task delegation, and code/system review — guiding the team from research phase through production deployment of 10+ AI services.
• Leveraged AI tools (ChatGPT, Claude, Gemini, GitHub Copilot) extensively in daily DevOps work: generating IaC templates, debugging infrastructure issues, writing automation scripts, and drafting technical documentation — significantly accelerating delivery speed and reducing human error.
• Championed a culture of continuous technology adoption: proactively researched and evaluated emerging AI technologies (LightRAG, KAG, multi-modal AI, AI Agents), then led POC implementations to validate feasibility before production rollout.
• Mentored team members on DevOps best practices, cloud architecture, and AI integration patterns — building team capability to operate independently.

KILOBA System Structure Breakdown

The bank's centralized AI platform powering all AI initiatives: chatbots, call scoring, computer vision, workflow automation. Multi-cloud architecture on AWS + Google Cloud, serving thousands of users bank-wide.

DevOps & Infrastructure Capabilities:

• Owned the full AWS infrastructure: provisioned and managed EC2, EKS clusters, VPC networking (peering, security groups, ELB), S3, RDS, and IAM across multiple accounts using AWS Organizations.
• Led zero-downtime migration of the entire production environment to a new AWS Organizational Unit (OU), re-configuring compute, networking, and IAM.
• Spearheaded GCP onboarding as second cloud provider: set up project hierarchy, IAM policies, billing, deployed Vertex AI / Gemini API.
• Deployed and managed Kubernetes clusters (EKS + on-premise K8s) running 10+ microservices with Helm charts, rolling updates, HPA, resource quotas.
• Designed centralized Observability Stack (Grafana + Prometheus + Loki + Tempo) for all AI services.
• Implemented FinOps: built cost dashboards, billing alerts, right-sized instances across AWS and GCP — providing monthly reports to management.

CI/CD & Automation Capabilities:

• Built end-to-end CI/CD pipelines (GitLab CI, AWS CodePipeline, ArgoCD) for the platform and 5+ projects (VNPay, Insurance, QA/QC) — reducing deployment cycle from days to minutes.
• Designed 5+ n8n automation workflows: user analytics, feedback aggregation, conversation extraction, usage reporting.
• Containerized all services with Docker (multi-stage builds), managed Helm charts, maintained consistent environments from dev to production.

AI/ML Engineering Capabilities:

• Engineered the RAG pipeline end-to-end: data training workflows, document embedding into Pinecone Vector DB, Neo4j GraphDB for knowledge graph.
• Designed the middleware layer connecting OpenAI, Gemini, Pinecone, Neo4j into a unified architecture with request routing and failover.
• Led Pilot-to-GoLive integration of Google Gemini — enabling multi-model AI capabilities in production.
• Migrated from traditional RAG to LightRAG architecture — improving retrieval accuracy and reducing token cost.

Detailed Projects Portfolio (KILOBA Sub-systems)

Financial Infrastructure & Partner Projects

Critical infrastructure and CI/CD development for the bank's internal core systems and B2B integrations.

• VNPay Integration Infrastructure: Architected highly available multi-cloud routing environments to serve as the secure integration bridge between the bank's core and external VNPay services.
• Insurance Partner Gateways: Engineered dedicated secure deployment pipelines and strict IAM isolation rules for cross-selling insurance partner platforms, guaranteeing absolute transaction security.
• QA/QC Core Environments: Built completely isolated CI/CD pipelines and infrastructure segments, allowing QA testing teams to perform rigorous integration testing without impacting banking production traffic.

Engineering Philosophy & Work Ethic

• Leadership & Ownership: Led the AI team as Tech Lead, drove critical architecture decisions, and took full ownership of complex projects from initial research to stable production.
• Fast Technology Adoption: Continuously evaluated and integrated emerging technologies (LightRAG, KAG, Gemini, MCP, AI Agents) into production pipelines within weeks.
• Cross-team Collaboration: Partnered closely with Customer Service, HR, and Recruitment departments to deliver AI solutions that accurately solved real-world business bottlenecks.
• Problem-Solving under Pressure: Re-architected critical systems (e.g., Call Scoring, AWS OU zero-downtime migration) while strictly maintaining daily banking operations.
• Mentoring & Knowledge Sharing: Guided cross-functional team members on DevOps methodologies, cloud architecture, and AI integration patterns, enabling them to operate independently.
• Self-motivated & Proactive: Independently researched new tech, initiated POCs, and proposed architectural upgrades before being asked — driving relentless innovation within the platform.
• Critical Thinking (Trade-offs): Constantly evaluated vital metrics regarding cost (FinOps), performance, and reliability when making large-scale engineering and infrastructure decisions.

Comprehensive Tools & Technologies