Nandhini Lakuduva is a Software Engineer 2 in the Greater Seattle Area with 10 years of experience building scalable big data pipelines and machine learning systems, currently helping shape data platforms at Microsoft. She specializes in data engineering, experimentation, and analytics—optimizing Azure Data Lake and Cosmos-based ingestion and cutting compute costs by 3:1 while speeding scorecard generation and reducing SRMs by 70%. A UT Austin CS master's graduate focused on statistics and NLP, she complements academic rigor with AI certifications and active research reading to keep models and methods current. Her background spans end-to-end feature work from React/C# front-ends to Python ML telemetry analysis and real-time streaming prototypes on AWS. Outside engineering, she channels her organizational and storytelling skills as Marketing Lead for the Redmond Tech Orchestra, blending technical leadership with community-building and creative outreach.
10 years of coding experience
3 years of employment as a software developer
Master's Degree Computer Science, Master's Degree Computer Science at The University of Texas at Austin
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