These anonymized case studies show the constraints, work owned, architecture choices and practical outcomes that can be shared without exposing client or product details.
What these pages prove
Technical ownership across cloud, delivery, backend and AI workflows—presented without invented client claims or confidential metrics.
AI & Platform Engineering
2025 - presentAnonymized production platform work for AI-assisted clinical research workflows across cloud, backend and operations.
Outcome
Established an operable production environment spanning cloud architecture, application delivery and managed-model workflows.
Regulated Software Delivery
2024 - 2025Private full-stack and DevOps work on a production clinical-study platform with access control and traceability requirements.
Outcome
Strengthened the connection between application delivery, traceability and day-to-day production support.
Cloud Foundations
2022 - 2024Anonymized infrastructure work for enterprise clinical-research workloads on AWS and Azure.
Outcome
Created repeatable infrastructure and delivery patterns across AWS and Azure production workloads.
Backend & Integration
2022 - 2024Private backend and integration work using serverless services, microservices and controlled delivery practices.
Outcome
Delivered backend and integration components that could move through the same controlled release and support paths as the surrounding platform.
Send the current architecture or decision and I will tell you if the work is a fit.