AIceberg
Jasinth G. is a Data Scientist at AIceberg since January 2023, focusing on the development of advanced machine learning models for AI explainability, alongside establishing robust testing environments to ensure model reliability. Prior to this role, Jasinth served as a Digital Transformation Architect at the American Petroleum Institute, where leadership in developing API 16D/G safety standards led to significant improvements in BOP system reliability and reductions in failures. Additionally, experience as a Functional Consultant at bp included the successful implementation of integrated solutions utilizing Azure Synapse Analytics, enhancing production operations forecasting accuracy and monitoring capabilities in offshore drilling. Academic credentials include a Master of Science in Engineering from the University of Houston and a Bachelor of Engineering in Electrical, Electronics and Communications Engineering from PSG College of Technology.
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AIceberg
Next generation AI risk management and explainability platform for supervised learning and generative AI. True natural language capable AI explainability, risk management and real-time monitoring for model quality, performance and security. Compliant and transparent operations of AI and monitoring of third party models.