Summary
Parham Alvani is a Distinguished Engineer with 11 years of experience building high-throughput, cloud-native backend systems and data pipelines from Istanbul. He has led design and implementation of microservice architectures that handle 300k+ messages/sec using NATS, deployed Kafka on Kubernetes, and optimized databases (MongoDB/Postgres) for real-time workloads including a MongoDB Go driver contribution adding robust time.Time BSON support. Parham bridges machine learning and engineering by enabling MLOps with Seldon, periodic Kubernetes jobs via Airflow, and Spark/Beam ingestion pipelines that improved data collection and resource efficiency. He’s a hands-on mentor and architect who moves teams to GitOps, observability with OpenTelemetry, and pragmatic sharding strategies that halved chat response times. Beyond backend systems, he contributes frontend UI work in multi-language open-source projects and has a PhD-focused background in networking and telecommunications, evidencing both deep research grounding and production-grade delivery.
12 years of coding experience
8 years of employment as a software developer
Amirkabir University of Technology
Persian, English