I’m Mann Nada, a Software Engineering graduate-level student focused on Data Science and building production-ready, testable systems. I enjoy turning complex requirements into reliable automation frameworks and data pipelines, whether that’s validating hardware test results, improving ML workflows, or deploying AI-powered applications.
In my recent internships, I worked on large-scale automation and backend services—designing distributed architectures, building CI/CD-friendly test frameworks, and cutting regression time dramatically. I also build end-to-end projects using Python and modern AI tooling (LLMs, RAG, embeddings), and I like partnering with engineers to ship practical solutions that scale across teams and geographies.
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