VuNet Systems
Srinidhi Bhat is a Senior Data Scientist at VuNet Systems, specializing in developing advanced chatbot systems and collaborative conversational agents with capabilities for SQL querying and memory integration. Srinidhi has experience in optimizing Q&A chatbots through research and fine-tuning techniques for embedding LLMs. Previous roles include Data Science Engineer and Data Scientist, contributing to the development of log parsing mechanisms and enhancing decision-making processes. Additionally, Srinidhi has completed internships focused on machine learning for computer vision and worked as an Associate Software Engineer at Accenture. Academic qualifications include a Master's in Machine Learning and a Postgraduate Degree in Data Science, alongside a Bachelor's in Electrical, Electronics, and Communications Engineering.
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VuNet Systems
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VuNet's Business-Centric Observability platform, vuSmartMaps seamlessly links IT performance to business metrics and business journey performance. It empowers SRE and IT Ops teams to improve service success rates and transaction response times, while simultaneously providing business teams with critical, real-time insights. VuNet’s Observability platform today handles over 20 billion transactions worth $900 Billion for leading banks and financial institutions. The company is Series A funded, part of NASSCOM DeepTech Club, awarded NASSCOM’s AI Gamechanger, recognized in Forbes DGEMS 200 and by several global analysts including Gartner, Omdia etc..