Senior Software Engineer at Blocks, working on cloud cost optimization (FinOps) across AWS and Google Cloud.
I design and build the backend services, data pipelines and infrastructure behind a multi-cloud FinOps platform. Most of my work sits where distributed systems, cloud infrastructure and applied AI meet: turning raw billing and usage data into accurate, actionable savings recommendations.
- Backend and data platforms: Python and FastAPI services, ETL pipelines and analytical data stores for cost analytics at scale
- Multi-cloud engineering: extending an AWS-native product to Google Cloud, including billing data, access models and customer onboarding
- Platform and reliability: infrastructure as code, Kubernetes, GitOps delivery, and observability with actionable alerting
- Applied AI: LLM-backed recommendation systems with validation built in, and AI-assisted development workflows for engineering teams
| Area | Technologies |
|---|---|
| Languages | Python, TypeScript, Go, PHP |
| Backend | FastAPI, Node.js, NestJS, Symfony |
| Frontend | React, Next.js |
| Cloud | AWS, Google Cloud |
| Infrastructure | Terraform, Kubernetes, Argo CD, Docker |
| Data and observability | ClickHouse, PostgreSQL, Grafana |
- Clean Architecture and Domain-Driven Design, with clear boundaries and testable use cases
- Event-driven systems with explicit, versioned contracts
- Everything as code, from infrastructure to dashboards and alerts
- Small, reviewable changes, with architecture decisions recorded as ADRs