Steven Ramdas is a Senior ML Engineer and founder of Daistra, combining 11 years of software engineering experience with 4+ years focused on data and ML to design and deliver pragmatic, production-grade DataOps and MLOps solutions. He partners with enterprise and scale-up teams to standardize ML lifecycles, implement LLMOps at scale, and embed well-architected AI systems into business workflows across cloud platforms (AWS/Azure). At Vattenfall and Stedin he has led and coached ML guilds and engineering teams, turning data scientists into ML engineers and driving cross-functional integration. Steven’s strength is blending hands-on architecture and implementation with stakeholder coaching, ensuring solutions are maintainable and observable in production. He holds a Computer Science background from TU Delft and a creative audio-engineering foundation, reflecting a practical but inventive problem-solving style. Colleagues describe him as a relentless learner who favors measurable impact over theoretical novelty.
11 years of coding experience
9 years of employment as a software developer
Pro Audio Recording & Sound Design, Audio Engineering / Music Production, Pro Audio Recording & Sound Design, Audio Engineering / Music Production at Sound Education
Computer Science, Computer Science at Delft University of Technology
Swift 5.0 Example project that exposes the usage of Core Data to create Entities and to persist to a SQLite Datastore
Contributions:119 commits, 29 PRs, 114 pushes in 4 years 4 months
coredatasqliteswiftios-swiftios11
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