Instructor

Route: /instructor/

Status: Working content draft for review
Purpose: Content architecture, copy direction, SEO starting points, and page-level placeholders
Source basis: WINNOW learning catalogue and Debojyoti Biswas profile documents supplied for the project
Important: Claims, dates, pricing, batch schedules, testimonials, placement outcomes, institutional clients, and certifications must not be published unless verified and approved.

Page purpose

Establish Debojyoti Biswas’s credibility as the lead instructor without turning the page into a conventional résumé dump.

SEO starting point

This page is primarily branded/entity SEO.

Debojyoti Biswas AI
Debojyoti Biswas Generative AI
AI governance instructor
machine learning instructor
Generative AI trainer
AI risk governance expert
model risk management AI

[SEO NOTE: Do not force generic high-volume keywords into biographical copy.]

Tentative content hierarchy

Hero and positioning
Why the background matters to learners
Areas of expertise
Professional experience
Education
Teaching/mentoring
Beyond the mandate
Courses taught
CTA

Draft content

Hero

Debojyoti Biswas

Enterprise AI Governance · Generative AI Risk & Control · Model Risk Management · Analytics

Debojyoti Biswas brings 19 years of experience across global banking, analytics, modelling, AI governance and Generative AI risk and control.

His background spans both first-line and second-line risk functions, giving him direct experience with how analytical and AI systems are developed, reviewed, governed and adopted inside large organisations.

Why this matters in the classroom

WINNOW’s curriculum should be positioned as practitioner-led rather than as a sequence copied from software documentation.

Debojyoti’s experience includes:

Generative AI risk and control frameworks
AI and model governance policy
AI use-case lifecycle review
consumer credit risk modelling
scorecards and risk segmentation
model validation and monitoring
machine learning for retail portfolios
enterprise stakeholder engagement
learning, mentoring and micro-learning

Professional experience

Wells Fargo · Bangalore · Sep 2024 to Jun 2026

Vice President / Programme Lead, Generative AI Risk & Control
[CONFIRM: preferred exact public title. One supplied profile uses “Head - Generative AI Risk & Control, India & Philippines”.]

Source-supported themes:

Built first-line control framework for Generative AI use cases
Governance model, risk taxonomy and operating standards
Delivered risk questionnaires, reusable control library and risk/control assessment matrix
Business Control Manager engagement and adoption
AI use-case lifecycle alignment and micro-learning

Citigroup · Mumbai · Sep 2015 to Aug 2024

Vice President, Risk Review Framework · Jan 2022 to Aug 2024

AI risk policy and procedures
NLP and Generative AI playbook
End-to-end review of AI and GenAI solutions

Assistant Vice President, Credit Risk Modelling · Oct 2017 to Dec 2021

Consumer credit risk models for cards
scorecards and risk segmentation
model monitoring
portfolio and acquisition models
vendor MIS and analytical work

Manager, Model Risk Management · Sep 2015 to Sep 2017

second-line review of consumer valuation risk models
model documentation and validation templates
policy enhancement work
employee engagement and communication responsibilities

IBM · Kolkata · 2013 to 2015

Data Scientist working on analytical modelling for product launch and optimisation for a US healthcare client.

Genpact · Kolkata & USA · 2008 to 2013

Roles spanning:

online marketplace collections
mortgage insurance collections and dialer analytics
online banking, web analytics, campaign tracking and decision science

Infosys · Bangalore · 2007 to 2008

Web analytics and pre-sales support for US healthcare clients.

Education

M.Sc., Applied Economics
Presidency College · 2007

Executive Programme for Young Professionals
IIM Calcutta · 2009

[CONFIRM: preferred wording around econometrics/finance as brochure and profiles differ in presentation.]

Teaching and mentoring

The supplied material supports a strong mentoring, L&D and micro-learning dimension.

One supplied profile states 10 years of professional development and teaching experience.

[CONFIRM before publishing this number prominently.]

Potential proof to add:

[CONTENT REQUIRED: institutions taught at]
[CONTENT REQUIRED: programmes designed]
[CONTENT REQUIRED: number/type of learners]
[CONTENT REQUIRED: guest lectures, workshops or academic engagements]
[CONTENT REQUIRED: selected testimonials]

Beyond the mandate

Source material notes:

Advocate for autism awareness and inclusion
Mentor to early-career analytics talent

Use this lightly and only if it aligns with the desired public professional profile.

Courses

Link cards:

Excelerate
SeeIt
Groundwork
CodeCraft
PredictWorks
The GenAI Odyssey