Sudharshann D is a Machine Learning Software Engineer based in Seattle with nine years of experience building production-grade AI systems at Apple, Microsoft, and Amazon. He specializes in ML inference, recommendation systems, and low-level deep learning infrastructure, having delivered object-detection models that raised engagement by 30% and led a migration that saved $2M annually. At Microsoft he helped operationalize generative image services (DALL·E) and worked on AI safety and prompt engineering, while at Amazon he improved Prime subscription backends and cut read latency with GraphQL optimizations. Now at Apple he focuses on ML platforms and tools to accelerate AI adoption, writing performance-critical code in Go and Rust. He combines academic training from NYU Courant and NIT Trichy with hands-on systems and product impact, and is comfortable navigating both research-driven model work and large-scale production engineering.
9 years of coding experience
5 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at New York University
Bachelor's degree ECE / Computer Engineering, Bachelor's degree ECE / Computer Engineering at National Institute of Technology, Tiruchirappalli
High School Diploma CBSE Mathematics and Science, High School Diploma CBSE Mathematics and Science at Global Indian International School, Singapore
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