I design and run production platforms that scale reliably under real-world load.
I’m a staff software engineer focused on distributed systems, event-driven architecture, and cloud infrastructure. I partner with product and operations teams to turn ambiguous workflows into reliable platforms with measurable business outcomes.
Systems and architecture patterns I’ve built and operated in production.
Designed resilient async workflows with SQS, Lambda, DynamoDB, and S3 for fulfillment, onboarding, and data processing.
Led hybrid DynamoDB + Postgres designs that separate high-throughput lifecycle state from relational business workflows.
Owned AWS infrastructure end-to-end across ECS Fargate, ALB, Route53, IAM, KMS, Secrets Manager, and multi-environment delivery.
Built GitLab CI/CD systems with promotion workflows, OIDC role assumption, container pipelines, and Terraform-based delivery.
Systems I’ve built and operated in production
Metrics sourced from internal platform and operations dashboards (2024-2025).
2,000 -> 6,000+ active users in 12 months across parents, students, teachers, school admins, and district admins.
700 -> 2,100+ schools and districts served in 12 months.
From fragmented manual fulfillment to 1M+ cumulative books shipped after workflow automation rollout.
18K/day -> 50K/day sustained request volume over 2 quarters.
Intermittent burst processing -> 250K+/day steady queue throughput during a 2-quarter migration.
10 days -> 3 days average deal-to-fulfillment cycle in 6 months.
Signals that matter in the staff engineering market.
The strongest engineering portfolios do more than list tools. They show judgment across architecture, delivery, and operational impact.
Event-Driven Systems
Designed resilient async workflows with SQS, Lambda, DynamoDB, and S3 for fulfillment, onboarding, and data processing.
Distributed Data Architecture
Led hybrid DynamoDB + Postgres designs that separate high-throughput lifecycle state from relational business workflows.
Cloud Infrastructure Ownership
Owned AWS infrastructure end-to-end across ECS Fargate, ALB, Route53, IAM, KMS, Secrets Manager, and multi-environment delivery.
Platform Delivery & CI/CD
Built GitLab CI/CD systems with promotion workflows, OIDC role assumption, container pipelines, and Terraform-based delivery.
Architecture, delivery, and operational leverage.
These are the kinds of systems I most enjoy building: high-ownership platforms with real throughput, clear business impact, and carefully chosen tradeoffs.
Take Everywhere Platform
Multi-service product platform
- Architected and owned a cloud-native platform serving thousands of users across thousands of school and district access contexts.
- Built internal APIs, order flows, operations dashboards, uploads, reporting, and secure middleware patterns.
- Operated across application, data, and infrastructure layers with end-to-end ownership.
Fulfillment Lifecycle Pipeline
Event-driven orchestration on AWS
- Designed asynchronous order and fulfillment pipelines using SQS → Lambda/services → DynamoDB/S3.
- Improved fault isolation, traceability, and operational visibility across downstream workflows.
- Accepted eventual consistency in exchange for resiliency, retries, and independent scaling.
Assessment File Processing Engine
Large-file ingestion and validation
- Built ingestion workflows for CSV/XLSX uploads using object storage, queues, and worker-based processing.
- Handled validation, deduplication, dynamic mapping, staged writes, and operator feedback loops.
- Designed for throughput, retry safety, and clearer visibility into partial failures.
Infrastructure & Delivery Control Plane
Terraform + CI/CD architecture
- Standardized infrastructure across sandbox, staging, and production with Terraform-managed AWS resources.
- Implemented branch-based promotion, Docker/ECR pipelines, and OIDC-based deployment workflows.
- Improved consistency, delivery speed, and long-term maintainability of platform operations.
Why the shape of the system matters.
Strong systems are not just collections of services. They are sets of decisions made against real constraints: throughput, reliability, operator visibility, cost, and maintainability.
Hybrid DynamoDB + Postgres
Why this won: Separated high-throughput lifecycle state from relational assessment and workflow logic.
Tradeoff accepted: Introduced additional operational complexity and consistency boundaries, but enabled each data model to optimize for the workload it served best.
Async Pipeline over Synchronous Processing
Why this won: Improved throughput, fault isolation, and retryability for large operational workflows and file processing.
Tradeoff accepted: Accepted eventual consistency and more operational components in exchange for resiliency and independent scaling.
Terraform + GitLab Delivery Architecture
Why this won: Created reproducible environments, safer deployments, and infrastructure governance across teams and environments.
Tradeoff accepted: Required more upfront systems investment, but paid off in speed, reliability, and repeatability.
A progression built on systems depth.
Led architecture and roadmap for a multi-service platform spanning product, operations, data, and infrastructure. Delivered measurable business impact through automation, architecture simplification, and platform ownership.
Built full-stack observability and workflow platforms, improved client response and ticket flows, and helped drive reliability and deployment improvements across distributed systems.
Grew from operations and support engineering into software development, building automation, improving production reliability, and developing strong systems and infrastructure fundamentals.
Staff-market positioning, grounded in real platform work.
I work best where engineering intersects with operations, product, and infrastructure. My strongest contributions come from translating ambiguity into systems that last: clear architecture, thoughtful tradeoffs, strong delivery, and measurable impact.
Open to staff engineering roles with real systems ownership.
I’m looking for teams where I can lead architecture, improve reliability, and ship high-leverage platform work across product, operations, and infrastructure.