AV

Amit Vaid

Managing Director, Head - Applied Science,GenAI Services & AI Research at State Street

State StreetBengaluru, Karnataka, India

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Experience22+ Years
LevelCXO

Executive Overview

Analytics leader/AI Architect with 20 + 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 : 8 US Patents (few in the pipeline )in Advance analytics (New Algo Design) . https://patents.justia.com/inventor/amit-vaid Publications : 6 , which Include 4 research papers in the IEEE on Generative AI. Currently Leading generative AI adoption for the firm by building comprehensive Responsible AI Platform. Additionally leading various use cases for data insights with structured data for investment managers leveraging LLM's & unstructured data extraction from financial documents. 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): Been guest lecture @ (RVCE Bangalore, BITS Hyderabad ) with talks on statistics & CV. 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 .

Career Timeline

Professional employment history
  • Jun 2021–Present· 5 yrs 3 mos
    • Managing Director, Emerging Technology Center of Excellence, Applied Science, GenAI Services and AI ResearchCurrent
      Apr 2025–Present
    • Vice President-II, Head of Data Science ( AI India) Artificial Intelligence Group
      Jun 2021–Mar 2025
  • Mar 2019–Jun 2021· 2 yrs 3 mos
    • Senior Principal Data Scientist(Consulting Member Staff) : AI Head (R&D) , Oracle IoT Cloud
      Feb 2021–Jun 2021
    • Principal Scientist, Data
      Mar 2019–Feb 2021
  • 2005–Mar 2019· 14 yrs 2 mos
    • Sr. Data Scientist /Architect (AI) (IBM Watson Financial Crimes -Offering Management)
      Mar 2018–Mar 2019
    • Data Scientist : IBM Watson ( Safer Payments /CFM- Consulting)
      Dec 2016–Mar 2018
    • Data Scientist |Principal Consultant (IBM Software Labs)
      Sep 2015–Nov 2016
    • Data Scientist (IBM Software Labs)
      May 2011–Aug 2015
    • Advisory Engineer (Rational Software , Product Research & Development )
      2005–Apr 2011
  • Aug 2004–Dec 2004· 4 mos
    • Software Engineer
      Aug 2004–Dec 2004

Education

Bachelor of Engineering (BE)

Computer Science

Visvesvaraya Technological University

10 + 2

Non Medical

D.A.V Sector 8 , Chandigarh

10 th

Yadvindra Public School , Chadigarh

Advanced Machine Learning

Machine Learning , Data Modeling .

The Johns Hopkins University

Executive Relationship Map

Reports To
Amit Vaid
Vice Chair & President
Chief Financial Officer
Chief Technology Officer
Chief Operating Officer

Executive Network Preview

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Skills & Expertise

9 of 9 skills
Machine Learning ( Classification, Regression,Clustring)Core JavaHadoop EcosystemPython For Data Science .SPSS ModlerApache SparkODMWebSphere Message BrokerData Modeling