"Intelligence is not just about processing data—it's about understanding patterns,
learning from experience, and creating solutions that make a difference."

Core Expertise & Skills

  • AI Agents as a Service (AaaS) Development
  • Machine Learning & Deep Learning (PyTorch, TensorFlow)
  • NLP, Computer Vision, Generative AI
  • LangChain, AWS Bedrock AgentCore, Google AgentSpace
  • Data Center Architecture & Cisco Networking
  • Cloud Architecture (AWS, Azure, GCP)
  • Multi-Tenant SaaS & PaaS Platforms
  • MLOps (MLflow, LangSmith, OpenTelemetry)
  • Kubernetes, Docker, Terraform, CI/CD
  • Vector Databases (FAISS, ChromaDB, pgvector)
  • React.js, Node.js, Python, Go
  • Knowledge Engineering & Web Hosting

Certifications & Recognition

about me

Joel O.
Wembo

AI Agent Developer | Cloud Solutions Architect | Data Center Architect

As a Certified Cloud Solutions Architect, Data Center Architect, and AI Agent Developer, I design and deliver high-availability, agentic architectures powering SaaS, PaaS, and enterprise data centers. My work bridges Cloud, AI/ML, Data Center, Cisco Networking, and Knowledge Engineering—specializing in embedding AI Agents as a Service (AaaS) into cloud infrastructures to drive automation, scalability, and intelligence.

I design, build, and deploy machine learning, deep learning, and agentic AI systems addressing enterprise-level challenges across cloud and hybrid environments. From model development using PyTorch and TensorFlow to deployment with LangChain, AWS Bedrock, and Google AgentSpace, I leverage MLOps practices and distributed systems to deliver robust, production-ready AI solutions that transform business operations.

Connect with me on LinkedIn, Twitter, and Facebook to discuss AI innovations, cloud architecture, data center optimization, or collaboration opportunities.

S-25 BGC, Taguig City Metro Manila, Philippines

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AI Agent Developer | Cloud Solutions Architect | Data Center Architect

Joel Wembo @prodxcloud, specializing in AI Agents as a Service, enterprise cloud architecture, and data center operations. Building intelligent agentic systems

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See how intelligent agentic systems transform cloud infrastructure management

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Featured AI & Cloud Projects

Hand-picked collection of my best AI/ML and cloud infrastructure projects. Delivering intelligent solutions that solve real-world problems.

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AI-Powered Predictive Analytics Platform with MLOps

Enterprise AI/ML solution for real-time predictions

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Deep Learning Computer Vision System

Advanced image recognition and object detection

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Scalable AI Infrastructure on Multi-Cloud

High-performance distributed AI training platform

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NLP & Sentiment Analysis Engine

AI-powered text analytics and language understanding

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Data Center AI Workload Optimization

Intelligent resource allocation and performance tuning

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Automated ML Pipeline with Kubernetes

End-to-end MLOps for model training and deployment

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Joel Wembo

When it comes to AI and cloud solutions, it's not just about algorithms and infrastructure.
It's about understanding your vision, solving complex challenges,
and building intelligent systems that drive real results.

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Professional Resume

Download my complete resume to learn more about my experience and expertise

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Let's get to work !

joelwembo@outlook.com
+63 9696203655

S-25 BGC, Taguig City Metro Manila, Philippines

AI Deployment Agent

Deploy our full-stack application on EKS cluster AWS with SSL certificates
AI Agent
I'll help you deploy your full-stack application on AWS EKS cluster with SSL certificates. Let me provision the Kubernetes infrastructure step by step.
Analyzing requirements
Reviewing full-stack application architecture and Kubernetes resources needed
Creating VPC & Subnets
Setting up virtual private cloud with public/private subnets across availability zones
Creating EKS Cluster
Provisioning Amazon EKS cluster with managed node groups (us-east-1a, us-east-1b, us-east-1c)
Configuring NGINX Ingress Controller
Setting up ingress controller with AWS Load Balancer Controller for ALB integration
Deploying Full-Stack Application
Deploying frontend and backend services with ConfigMaps and Secrets
Configuring SSL Certificates
Requesting and validating SSL certificates from AWS Certificate Manager (ACM)
Configuring Ingress Rules
Setting up ingress rules with SSL termination, TLS certificates, and routing rules
Configuring DNS & Route 53
Setting up Route 53 DNS records pointing to ALB with SSL/TLS enabled
Deployment Status
Estimated completion time: 5-8 minutes
Current progress: 40%
Developed by Joel Wembo
Ask AI to deploy your full-stack on EKS cluster AWS...