SooJi Dano · VitrixLab
Available for consulting·Manila, PH
Soo Ji Dano/Cloud System Architect & SaaS Integration Specialist

Cloud architecture that holds.AI systems that ship.Cloud architecture that holds. AI systems that ship.

Enterprise cloud migrations, auto-scaling AI microservices, and multi-cloud DevOps with 8+ years shipping production systems.

40% cost reduction on SAP S/4HANA migration
500K+ daily API requests in production
95% deployment success rate

About

SooJi Dano —
cloud architect, Manila PH.

With over 8 years of experience in cloud architecture and enterprise system integration, I specialize in building scalable, resilient infrastructure that powers modern businesses. My expertise spans from Kubernetes orchestration to AI-powered microservices, delivering solutions that bridge the gap between complex enterprise requirements and cutting-edge technology.

Specializations

Specialized in cloud-native architecture design
Expert in enterprise system integration
AI/ML pipeline optimization specialist
DevOps and CI/CD automation expert
Work with me

Quick Facts

Location
Manila, PH
Experience
8+ years
Projects shipped
50+
Clients served
25+
Status
Available for consulting

What I do

Three services.
One outcome: results you can measure.

Cloud Architecture & Migration

For: Enterprises and mid-sized teams running legacy on-premise systems

Cut infrastructure costs and run 3× faster — without downtime.

End-to-end SAP S/4HANA and general cloud migrations. I assess your current stack, design the target architecture, and execute zero-downtime cutovers using Kubernetes, Terraform, and Azure/AWS/GCP.

KubernetesTerraformSAP S/4HANAAzureAWSGCP
Timeline scoped per engagementScoped per project. Book a call for a quote.

AI & LLM Integration

For: Product teams and SaaS companies wanting to ship AI features without cloud API risk

Production-ready AI in your product — private, fast, and cost-controlled.

I design and build local LLM inference pipelines and AI microservices on your infrastructure. Sub-200ms latency, auto-scaling, and on-premise data privacy — without the OpenAI bill.

Local LLMSLM OptimizationPythonNode.jsPostgreSQL
Timeline scoped per engagementScoped per project. Book a call for a quote.

DevOps & CI/CD Automation

For: Engineering teams losing time to manual deployments and fragile release pipelines

95% deployment success rate and releases that ship themselves.

I design cross-cloud CI/CD pipelines with Jenkins, Helm, and Prometheus. Unified monitoring, automated provisioning, and real-time alerting across AWS, Azure, and GCP.

JenkinsHelmDockerPrometheusGitHub Actions
Timeline scoped per engagementScoped per project. Book a call for a quote.

Case studies

Real engagements.
Real outcomes.

Cloud Architecture
Ongoing
8 months

Enterprise ERP Cloud Migration

Enterprise / ERP · Fortune 500 enterprise

Challenge

Legacy on-premise SAP system causing slow operations and high infrastructure costs.

Approach

Architected a zero-downtime SAP S/4HANA cloud migration on Azure with Kubernetes, Terraform IaC, and automated CI/CD.

Outcome

40% reduction in operational costs · 3× system performance improvement · 99.9% uptime CI/CD · 8 months delivery

View on GitHub
AI Integration
Live Production
12 months

AI-Powered Microservices Platform

AI / SaaS · SaaS startup

Challenge

Client needed to embed AI inference into their product without cloud API latency or data-privacy risk.

Approach

Built a local LLM microservices platform on Kubernetes with auto-scaling and SLM optimization for edge workloads.

Outcome

500K+ daily API requests handled · Sub-200ms response time · Live in production · 12 months end-to-end

View on GitHub
DevOps
Ongoing
6 months

Multi-Cloud DevOps Pipeline

DevOps / Infrastructure · Multi-cloud enterprise team

Challenge

Fragmented deployments across AWS, Azure, and GCP with no unified pipeline and frequent release failures.

Approach

Designed a cross-cloud service mesh with Jenkins, Helm, and Prometheus for unified CI/CD and real-time alerting.

Outcome

95% deployment success rate · Automated provisioning across 3 clouds · Real-time monitoring · 6 months delivery

View on GitHub
Data Architecture
Beta Testing
10 months

Business Intelligence Integration Suite

Data / Analytics · Enterprise data team

Challenge

Siloed ERP, CRM, and legacy data sources prevented real-time decision-making across business units.

Approach

Built a unified BI platform with Kafka streaming, Spark processing, and an ML-powered React analytics dashboard.

Outcome

Real-time data streaming across all systems · ML-powered predictive insights · Beta testing · 10 months delivery

View on GitHub

Tech stack

Tools I ship with.
Every day.

Cloud & Container Orchestration

Kubernetes

Container orchestration and cluster management

Docker

Containerization and microservices deployment

Helm

Kubernetes package management

AWS/Azure/GCP

Multi-cloud infrastructure management

Enterprise Integration

SAP S/4HANA

Enterprise resource planning systems

ERP Integration

Cross-platform enterprise system connectivity

Business Intelligence

Data analytics and reporting platforms

API Gateway

Microservices communication hub

AI & Machine Learning

Local LLM

On-premise large language model deployment

Cloud LLM

Cloud-based AI model integration

SLM Optimization

Small language model for edge computing

ML Pipelines

Automated machine learning workflows

Architecture & Development

MVC Architecture

Scalable application design patterns

Microservices

Distributed system architecture

SaaS Platforms

Software as a Service development

CI/CD Pipelines

Continuous integration and deployment

FAQ

Common questions.

Cloud architecture & migration (SAP S/4HANA, general cloud), AI/LLM integration into existing products, and DevOps/CI-CD automation across AWS, Azure, and GCP. I've shipped 50+ projects over 8+ years. If you're unsure whether your project fits, send a message through the form or book a call and I'll confirm feasibility upfront.

Depends on scope: DevOps automation typically runs 2–4 months, AI microservices integration 3–6 months, and full enterprise cloud migrations 6–12 months. I provide a fixed timeline estimate in writing before work begins, not an open-ended meter.

Engagements are structured either as fixed-scope project milestones or dedicated monthly advisory retainers. Because architecture scale drives complexity, pricing is tailored to your infrastructure requirements. Book a call and I'll deliver a transparent, itemized proposal.

Yes — I operate async-first with daily status handoffs and scheduled live collaboration. Most of my clients are based across North America, Europe, and Asia Pacific. Operating from UTC+8, I maintain reliable working-hour overlaps with US and European business schedules.

Every engagement includes complete architecture runbooks, infrastructure-as-code documentation, and a 30-day post-cutover warranty window for stabilization. Ongoing maintenance retainers and on-call escalation options are available upon request.

Book a free 20-minute call using the form below. Come prepared with: what you're running now, what's breaking or costing too much, and your rough timeline. I'll tell you what I'd do and what it would cost — no pitch, no pressure.

Initiate Engagement

Get In Touch

Ready to discuss your next cloud migration, AI system, or infrastructure architecture? Let's build something resilient together.

SooJi Dano — Cloud Architect & Developer, VitrixLab

Consulting & Delivery

Available for enterprise cloud architecture consulting, SAP S/4HANA migrations, and AI-powered solutions. Based in Manila, PH — Available for consulting.

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