I’m a data scientist specializing in Machine Learning, Generative AI, and MLOps, with 6+ years of end-to-end ownership—from model development and experiment tracking to production pipelines that stakeholders can trust. I enjoy translating business problems into measurable objectives, building robust data foundations, and ensuring models are auditable, compliant, and easy for teams to operationalize.
In my recent work, I’ve built automated analytics pipelines for hyper-personalized marketing, using LLMs to generate and refine campaign content based on conversion outcomes. I also focus heavily on responsible deployment—such as PII detection before messages go out—and I’ve designed reusable data models and statistical evaluation frameworks that reduce time-to-launch while improving confidence across experiments and production use cases.
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