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Niranjan S

@niranjans

Machine Learning Engineer at Contentstack who cut image pipeline memory use by 63× and builds multi-tenant AI systems.

India
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At Contentstack, I optimized the image ingestion pipeline, reducing peak memory usage by 63×, processing time by 1.9×, and per-call payload size by 25× while maintaining image quality. I also built core components of a multi-tenant AI platform serving 500+ enterprises.

I built distributed ingestion and real-time analytics pipelines, and designed a usage metering and billing system. Before my current role, I contributed to Contentstack’s Brand Kit AI product and developed projects including a no-code AutoML platform and a custom 2D physics engine.

Experience

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Education

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SC

Sri Manakula Vinayagar Engineering College

B.Tech, Artificial Intelligence and Data Science

2021 - 2025

Grade: 8.2 CGPA

Pursued a B.Tech in Artificial Intelligence and Data Science with a CGPA of 8.2. Coursework included Data Structures & Algorithms, Machine Learning, Deep Learning, Computer Vision, Distributed Systems, and Database Systems.

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