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Reinventing Model Validation: How Ramakrishnan Accelerated Enterprise-Scale Recommendation Systems

Reinventing Model Validation: How Ramakrishnan Accelerated Enterprise-Scale Recommendation Systems

Published 3 months, 3 weeks ago
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This story was originally published on HackerNoon at: https://hackernoon.com/reinventing-model-validation-how-ramakrishnan-accelerated-enterprise-scale-recommendation-systems.
Ramakrishnan Sathyavageeswaran revolutionized ML model validation with a backtesting framework that boosts speed, accuracy, and business impact.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #reinventing-model-validation, #ramakrishnan-sathyavageeswaran, #recommendation-systems, #enterprise-ai-innovation, #automated-backtesting, #ml-operations-(mlops), #ml-backtesting-framework, #good-company, and more.

This story was written by: @sanya_kapoor. Learn more about this writer by checking @sanya_kapoor's about page, and for more stories, please visit hackernoon.com.

Under Ramakrishnan Sathyavageeswaran’s leadership, a new ML backtesting framework cut validation time by 95%, improved offline-to-online accuracy by 30%, and reduced cloud costs. His scalable, automated solution reshaped enterprise recommendation systems—combining deep technical innovation with measurable business outcomes across industries.

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