Machine Learning Engineer, Perficient Latin America
May, 2022 - Present
Expert consultant for PriceWaterhouseCoopers in MLOps Team. Focused on infrastructure automation, serverless platform optimizations, and community leadership in MLOps best practices.
Problem: Created and enhanced a low-code application deployment platform for PWC consultants to focus on delivering value through AI and data science proofs of concept.
Solution: Developed infrastructure automation templates using Terraform and optimized performance on serverless platforms (Kubernetes, Istio, Knative). Integrated connections to Databricks, Azure Blob Storage, Git repositories, and other services in a plug-and-play manner.
Outcome: Improved low-code application performance by 15% and reduced solution deployment times by 30%, enabling faster client deliverables.
Skills: Python, FastAPI, Terraform, Kubernetes, Docker, Helm, Azure Pipelines.
Learnings: Gained expertise in building scalable, low-code platforms and enhancing consultant workflows through optimized infrastructure.