Ryan Robinson

Led and owned CI/CD architecture for Salesforce-heavy environments across 10+ enterprise orgs. Restructured pipeline stages and caching to cut average deployment time from ~45 minutes to under 10 minutes. Built a deployment orchestration layer integrating Git, Salesforce DX, and internal APIs, reducing manual release coordination and minimizing sequencing failures. Designed and implemented a model deployment workflow using MLflow with containerized inference services (Docker + Kubernetes), enabling traceable versioning and cross-environment model promotion. Introduced lightweight batch and scheduled pipelines with Airflow, replacing ad-hoc scripts for more predictable data/model dependencies. Implemented monitoring for model performance and pipeline health with Prometheus, catching silent failures before downstream impact. Led architecture decisions, mentored junior developers, and ensured production-ready solutions with >90% code coverage through comprehensive unit and integration tes

Led backend and infrastructure work for a cloud platform serving high-traffic web applications. Reworked CI/CD pipelines with Jenkins + Kubernetes, reducing build times by ~30% and lowering deployment failures due to environment drift. Migrated services from VM-based deployments to containerized workloads, improving scaling behavior and making rollbacks reliable. Brought data-driven features into production by replacing ad-hoc scripts with scheduled pipelines (Airflow) and versioned artifacts. Investigated performance issues across services (thread contention, DB bottlenecks, autoscaling misconfigurations), contributing to a ~20% reduction in p95 latency. Developed and maintained RESTful APIs using Java and Spring Boot with a focus on high availability and low latency. Practiced Agile methodologies and mentored peers on best practices in full stack development and DevOps.

Collaborated with multiple enterprise clients to build backend systems in C#/.NET, often navigating partially documented or inconsistent legacy systems. Integrated Salesforce with internal platforms via REST APIs and middleware, handling rate limits and data inconsistencies. Introduced CI/CD pipelines using Azure DevOps, reducing release errors while uncovering hidden environment and dependency issues. Assumed end-to-end ownership for debugging production issues and delivering broader impact beyond narrowly scoped components.