Mohsin Niazi is a software engineer based in London with ~8–10 years building data-intensive, production-grade pipelines and APIs for large-scale analytics. He has driven measurable improvements at Apple—halving data delivery times, achieving up to 25x query speedups in Vertica, and designing Iceberg partitioning schemes that improved compression and query performance several-fold. Comfortable across Spark, distributed systems and low-latency services, he has also cut serving latency and infrastructure costs in recommendation and personalization systems at Qubit. At Marshall Wace he continues to apply event-driven pipeline and resilience patterns learned from multi-DC, privacy-sensitive systems. He pairs strong operational discipline (runbooks, DR, SLAs, monitoring) with pragmatic engineering trade-offs and a knack for turning complex data correctness needs into automated, cross-team solutions. Trained as a mechanical engineer, he brings a systems-thinking perspective to software design and large-scale data problems.
8 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Mechanical Engineering, Bachelor's degree, Mechanical Engineering at National University of Science and Technology
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