I'm a software engineer who loves solving complex problems with elegant solutions. Currently building ML-powered health applications that help people make better decisions about their well-being.
Over the past 5 years, I've specialized in cloud architecture, performance optimization, and building systems that scale effortlessly as usage grows. I believe great software isn't just functional — it's fast, reliable, and easy to use.
Designing secure, scalable AWS systems with serverless and containerized services while automating deployments and access controls.
Building user-facing applications end-to-end with React and TypeScript frontends paired with Python and Java backend APIs.
Improving throughput and reliability through caching, observability, and scalable data pipelines for distributed workloads.
Automating deployment and infrastructure workflows to reduce manual risk, enforce consistency, and speed delivery.
Securing cloud resources and application access with IAM, role management, and observability for dependable systems.
Projects that showcase my approach to solving complex engineering challenges.
Delivered underwriting and policy administration improvements for an insurance platform while owning frontend features, deployment automation, and engineering mentorship.
Building the next generation of personalized health applications that leverage machine learning to provide actionable health insights.
Development of intelligent systems that revolutionized how companies discover and match talent, processing job applications and candidate profiles.
I'm always interested in challenging projects and great teams. Whether you're scaling an existing system or building something from scratch, I'd love to hear about it.