Building Scalable, Resilient Systems · Bridging AI with Production Backends · Cloud-Native by Design
I'm Arian, a 20-year-old Infrastructure & ML Engineer who thrives at the intersection of Data Science, Software Architecture, and Cloud-Native Engineering.
My superpower is taking machine learning models out of Jupyter notebooks and embedding them into high-throughput microservices—without sacrificing latency or accuracy. I design systems that are not only performant but also resilient, observable, and cloud-ready. I'm a polyglot developer who believes in choosing the right tool for the job, whether it's Java, Go, Fiber, or Python.
- 🏗️ Systems Architecture – Microservices, Event-Driven Design, CQRS, Saga Patterns, Circuit Breakers
- ⚡ Performance Engineering – Low-latency APIs, High-Concurrency, Caching Strategies (Redis), Async Processing
- 🤖 ML Engineering – Model Deployment (FastAPI), Real-time Inference, Feature Stores, Model Monitoring
- ☁️ Cloud-Native – Containerization (Docker), Orchestration (Kubernetes), Service Mesh, CI/CD, Infrastructure as Code
- 🛡️ Reliability & Observability – Logging, Metrics, Distributed Tracing, Resilience Testing, Graceful Degradation