Designed and built cloud infrastructure for an AI research lab startup, from discovery through implementation and handoff.
Role
Cloud Engineer
Challenge
An AI research lab startup needed production-ready cloud infrastructure in AWS to support their research operations, with clear cost projections and the ability for their team to maintain it going forward.
Contributions
- Discovery & User Research: Conducted user interviews to understand research workflows and infrastructure requirements
- Architecture Design: Presented multiple infrastructure options with detailed cost estimates, allowing informed decision-making
- Infrastructure Implementation: Built the final architecture using infrastructure-as-code for reproducibility and maintainability
- Knowledge Transfer: Provided training and documentation to enable the internal team to manage infrastructure independently
Results
Delivered complete AWS infrastructure in 6 weeks, from initial discovery through implementation and handoff training.
Technologies
- AWS (compute, storage, networking)
- Infrastructure-as-Code
- Cost modeling and optimization
- ML/AI research infrastructure patterns
