ποΈ Passionate about technology, speed, and the cloud βοΈβ‘
DevOps Engineer β’ Cloud Architect β’ DevSecOps β’ AI Engineer Specialized in multi-agent systems (MCP), Bedrock Agents, and AI-powered chatbots. I build scalable, secure, and resilient systems with cloud-native and AI-driven approaches. Off the cloud, I race superbikes and supermotos β precision, speed, and resilience guide me both on the track and in tech.
- Electronic Engineer β Universidad Distrital Francisco JosΓ© de Caldas, BogotΓ‘, Colombia
- Scalable & resilient systems
- Performance optimization
- Security & compliance architecture
- API-first design
- CI/CD with GitHub Actions, Jenkins, Codefresh
- Infrastructure Automation with Terraform & CloudFormation
- Monitoring: Prometheus, Grafana, Datadog, ELK
- Security: Vault, SonarQube, Veracode, AWS WAF
- MCP (Multi-Agent Control Plane): Orchestrating AI agents for enterprise workflows
- Bedrock Agents: Automating tasks with generative AI
- Knowledge Bases: S3 + Elasticsearch for enterprise search
- AI Chatbots: LLM-powered conversational systems
- NXP, PSoC5LP, PIC
- IoT prototyping and embedded apps
Outside the cloud, I chase speed and precision on the racetrack ποΈ. Racing superbikes and supermotos inspires the same resilience, adaptability, and sharp reflexes I apply in engineering.
- Multi-Agent Bedrock System β Orchestrated AI agents (MCP) with AWS Bedrock for enterprise automation.
- Terraform Product Modules β Reusable Terraform modules powering enterprise infrastructure.
- Advanced CI/CD Pipelines β Multi-cloud pipelines with GitHub Actions & ArgoCD.
- AI Chatbot Platform β Generative AI chatbot with Bedrock Agents + knowledge base (S3 + Elasticsearch).
- Multi-Agent Systems (MCP) & Bedrock Agents
- Kubernetes Ecosystem (Helm, Istio, Vault, Argo)
- DevSecOps Automation in CI/CD pipelines
- Generative AI for Enterprise
name: Luis Felipe Patino
pronouns: He/Him
profile: >
Cloud Architect, DevOps & AI Engineer, expert in MCP (multi-agent control planes)
and Bedrock Agents. Passionate about speed in both cloud deployments and racing tracks.
skills:
- Cloud Architecture (AWS)
- Infrastructure Automation
- DevOps & DevSecOps
- CI/CD Pipelines (GitHub Actions, Argo)
- AI Agents & MCP
- Terraform Modules
- Kubernetes Ecosystem
- Security & Compliance (Vault, SonarQube, Veracode)
- Monitoring & Logging (Prometheus, Grafana, Datadog)
- Embedded Systems (NXP, PSoC5LP, Arduino, PIC, Raspberry Pi)
interests:
- Multi-Agent Systems
- Generative AI
- Cloud-Native Innovation
- Open Source
- Superbikes & Supermotos