Summary
Dhruv Segat is a Senior Data Engineer with eight years of experience building scalable MLOps and data platforms across AWS, specialising in SageMaker, EMR/Spark, and real-time microservices. He has driven measurable gains—designing a dynamic feature computation framework and an OCR microservice that scaled to 600 images/second—while reducing costs and technical debt through robust validation and data-lake migrations. Comfortable across backend, data engineering and deployment surfaces, Dhruv has migrated critical pipelines to Iceberg/Kafka, improved model recall and enabled LLM deployments in production. Based in London, he pairs strong academic foundations from The University of Manchester with hands-on delivery at companies like Tessian, Proofpoint and Vortexa, and consistently focuses on operational efficiency as much as algorithmic quality.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Science, Computer Science, Bachelor of Science, Computer Science at The University of Manchester