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dplacencia .com

Things I've built and problems I've solved.

I don't list services here. This is a selection of real work across cloud infrastructure, AI/ML platforms, and DevOps engineering.

AI Document Processing Pipeline

Designed and built a cloud-native backend for automated invoice processing. The system combines OCR and NLP pipelines for data extraction, deployed on Kubernetes with full IaC (Terraform + K3s), Vault-managed PKI, cert-manager automation, GitLab CI/CD, and a complete observability stack with Prometheus, Loki, and Grafana.

  • Python
  • FastAPI
  • OCR/NLP
  • Terraform
  • K3s
  • Vault
  • Prometheus
  • Grafana

AI-Powered Recommendation Engine

Architected a recommendation API using self-hosted LLMs with complexity-based routing: simpler queries handled by lighter models, complex ones escalated to larger models. Built for cost efficiency and low latency on hybrid infrastructure, combining on-premise GPU compute with cloud services.

  • Python
  • Self-hosted LLMs
  • GPU Infrastructure
  • Hybrid Cloud

Healthcare Platform Infrastructure

Led DevOps architecture for a hospital management system covering accounting and clinical operations. Built secure multi-environment Kubernetes infrastructure with Vault + cert-manager for SSL, centralized logging and metrics with Loki + Mimir, and fully automated AWS provisioning via Terraform.

  • AWS
  • EKS
  • Terraform
  • Vault
  • cert-manager
  • Loki
  • Mimir
  • Grafana

FinOps Cloud Cost Optimizer

Built a SaaS prototype API in Go that automatically schedules EC2 instance start/stop based on usage patterns to reduce cloud waste. Designed with Polylith architecture, Fiber framework, Vault integration, and fully automated deployment via Terraform and GitHub Actions.

  • Go
  • Fiber
  • Polylith
  • Terraform
  • Vault
  • GitHub Actions
  • AWS

The problems I focus on

Cloud platform design and operation (AWS, hybrid, multi-cloud) · Kubernetes at scale (EKS, K3s, GitOps with ArgoCD) · CI/CD pipeline architecture · Observability and incident response · GPU infrastructure and AI/ML workload orchestration · Security automation (Vault, PKI, secrets management) · Cost optimization and FinOps