Mahdi Malverdi is a seasoned software engineer with eight years of experience building high-throughput data platforms and analytics systems. He has architected and productionized ingestion pipelines handling 20k–80k requests per second, led an Iceberg-based data lake migration, and optimized ClickHouse warehouses for low-latency dashboards. As a technical lead he designed large ETL fleets, Spark-on-Kubernetes improvements, and reproducible Bazel ETL images that reduced resource failures and operational toil. His work spans reliable schema evolution, metadata compaction, and observability practices that keep large-scale analytics dependable. Currently based in Tehran and researching how LLMs can assist automated code review, he combines deep systems expertise with a curiosity for applying ML to developer workflows.
7 years of coding experience
12 years of employment as a software developer
Master's degree Computer Software Engineering, Master's degree Computer Software Engineering at Shahid Beheshti University
Master's degree Computer Software Engineering, Master's degree Computer Software Engineering at University of Isfahan
National Organization for Development of Exceptional Talents (Sampad)
Contributions:40 pushes, 1 branch in 1 year 10 months
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