Amit Vaid

Analytics leader/AI Architect with 22 + years of Industry experience across research, development & consulting with a strong patent record & publications in peer-reviewed star rated scientific journals.Experience in design & development of scalable analytical solution with expertise in statistical /Machine learning & deep learning model development to deployment. Patents : 12 US Patents (few in the pipeline )in Advance analytics . https://patents.justia.com/inventor/amit-vaidPublications : 15 + Journals ( IEEE/ AIEE/FNS/Springer)Currently leading the firm’s Generative AI strategy and adoption, building and scaling a comprehensive Responsible AI (RAI) platform that serves as the centralized control plane for model governance, risk management, observability, and cost optimization.
Driving enterprise-wide GenAI capabilities, including advanced data insights from both structured and unstructured data for investment and asset managers, and the development of shared GenAI services such as RAG-as-a-Service, Prompt Hub, Agentic AI frameworks, and fine-tuning and inference optimization capabilities.Domian - Digital Finance ( June 2021 - Present): with focus on Operational Efficiency,Investment Intelligence ,Risk Excellence & Client Experience Leading Generative AI efforts with in the Organization, establishing blueprint design for wider rollout with in the firms working through different aspects of development ,infrastructure and operations and legal for initial go lives.Domain-IoT -Analytics (March 2019 - May 2021 ): ( Asset & Prod Monitoring / ETA Predictions /Maintenance Schedule Optimization/ Product Introduction Forecasting ). Domain -BFSI (Financial Crimes)-Analytics (2011-2019) :Alerts Insights /AML / Transaction monitoring/List Screening /Insurance Fraud / KYC Domain - Software Architect - Rational Software (2005 -2011): Worked with Oracle IOT cloud apps as Senior Principal Data Scientist(Consulting Member Technical Staff )- AI Head for real-time asset management, predictive maintenance, and reliability risk prediction systems using (IoT) driven data-streams & production systems for eliminating down-time, waste, and delay in manufacturing with explanability. Worked as Architect(Advance Analytics )/Sr.Data Scientist with IBM Watson Financial crimes(India Software Labs), in the field of payment fraud prevention , security solutions,Alerts , Due Diligence which increases the effectiveness of suspicious behavior detection &decreases investigation time .