Kunal W.

Generative AI Manager @ Citi

Pune District, Maharashtra, India

About

I am an AI Engineering Manager with 11+ years of experience building and scaling machine learning systems in the financial sector. Currently, I lead Generative AI Engineering at Citi, managing a team of AI and data engineers to architect Agentic AI systems and embed LLMs directly into core enterprise analytics workflows. Previously, I built MLOps pipelines and production classification models at Standard Chartered Bank, EY, and Tata Capital. My technical focus is on the end-to-end architecture of artificial intelligence—bridging classical machine learning and autonomous agentic workflows with robust data pipelines, low-latency deployment, and highly optimized compute infrastructure I have Canada PR and I am open for opportunity in Canada.

Experience

  • Assistant Vice President at Citi
    Apr 2025 - Present · 1 yr 4 mos

    Lead a specialized team of AI and Data Engineers to architect and deploy enterprise-grade Generative AI solutions. - Drive the end-to-end design, strategy development, and adoption of Gen AI systems across the organization. - Architect and scale conversational AI applications, managing the complex interplay between data pipelines, model latency, and compute infrastructure. - Embed advanced Gen AI usage directly into core analytics processes, transforming raw data workflows into high-productivity engines. - Lead high-stakes design discussions, ensuring the team moves beyond simple API wrappers to build fundamentally sound, scalable AI architecture.

  • Associate Director at Standard Chartered Bank
    Dec 2020 - Mar 2025 · 4 yrs 4 mos

  • Tata Capital (2 yrs 4 mos)
    • Senior Manager
      Jul 2020 - Nov 2020 · 5 mos

    • Manager
      Aug 2018 - Jun 2020 · 1 yr 11 mos

      Home Loan Application Scorecard - Handling Home Loan/Home Equity Scorecard - Developed 12k+ variables using Internal and external bureau data - Developed fully automated code for variable reduction - Performed stringent validation to get highly stable model - Suggested Strategy for deployment - Deployed Scorecard on online platform - Improved Approval Rate by 5% Propensity Model for Personal Loan - Fixed Model Design - Developed 7k+ variables using bureau data - Model helped to improve prospect conversion rate by 0.5%.

  • Assistant Manager at Citi
    Jan 2017 - Aug 2018 · 1 yr 8 mos

    Global attrition prediction model Headcount forecasting Text Analytics

  • Associate Consultant at EY
    Jun 2015 - Jan 2017 · 1 yr 8 mos

    Insurance analytics