Kamal K.

CTO

Gurugram, Haryana, India21 yrs 8 mos experience
AI ML PractitionerAI Enabled

Key Highlights

  • Over 22 years of experience in AI and Data Engineering.
  • Led AI initiatives generating over $100 million in revenue.
  • Recognized thought leader in Data Science and Engineering.
Stackforce AI infers this person is a seasoned leader in Fintech and Data Science with a focus on AI-driven solutions.

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Skills

Core Skills

Artificial Intelligence (ai)LeadershipSolution ArchitectureMlopsData ArchitectureMachine LearningData ScienceNatural Language Processing (nlp)Big DataData And Analytics PlatformsBusiness Intelligence

Other Skills

AIAI AgentsAI EngineeringAI ResearchAgile MethodologiesApache SparkAutomationBusiness AnalyticsC#Cloud ComputingConsultingContinuous Integration and Continuous Delivery (CI/CD)Core SystemsCross-functional Team LeadershipData Engineering

About

Seasoned Data and AI leader with over 22 years of hands-on experience in building scalable, impactful AI & Tech platforms across diverse domains such as Consumer Internet, Travel, and Investment Banking. In my last role, I worked as Senior Director & Head of AI Engineering and Solutions at Tata Digital, part of the Tata Group—India's largest conglomerate. In that role, I led AI initiatives across Tata Digital’s Commerce and Fintech (Insurance, Lending, Cards) verticals, solving large-scale, complex problems for Indian consumers through core AI infrastructure and generative AI applications. The focus was on building AI solutions and infrastructure that drive business growth, operational efficiency, and productivity at scale—while enabling reusability, standardizing AI architectures, and accelerating development through platform-led approaches. My journey includes key leadership roles at renowned companies like Expedia Group, ThoughtWorks, S&P Global (formerly Markit), and Nagarro Software, where I led global cross-functional teams, formulated comprehensive data strategies, and oversaw Data & AI roadmaps for products and verticals generating over $100 million in revenue. I’ve also been recognized as a thought leader and speaker in the Data Science and Engineering community, with publications and presentations on topics such as streaming architectures, AI operationalization, continuous MLOps, data mesh, and language models for speech-to-text and text-to-speech. I hold a Master’s in Computer Applications and a professional certification in Big Data and Analytics from MIT University.

Experience

Centricity wealthtech

Chief AI and Technogy Officer

Sep 2025Present · 6 mos · Gurugram, Haryana, India · On-site

  • I lead Centricity’s AI, Engineering, Agentic Infrastructure, Platform Services, Security, and Core Systems — architecting a unified technology foundation that powers our multi-asset, multi-channel wealth ecosystem, spanning Invictus (UHNI/Family Office), OneDigital (B2B2C), OneNR (NRI), OneSure (Insurance), and our Broking platform — all running on a seamless, AI-native core.
  • My North Star: to build the industry’s first Agentic Wealth OS — a next-generation operating system that fuses AI-native decision intelligence, deep automation, scalable microservices, and enterprise-grade reliability to transform how India — and the world — invests, manage, and grows wealth.
AIEngineeringPlatform ServicesSecurityCore SystemsArtificial Intelligence (AI)+1

Tata digital

Head of AI Engineering and Solutions

Apr 2022Sep 2025 · 3 yrs 5 mos · Gurugram, Haryana, India · On-site

  • Head of AI Engineering & Solutions at Tata Digital, responsible for AI initiatives across Commerce and Fintech (Insurance, Lending, Cards) verticals under Tata Neu. Leading a cross-functional team of AI/ML engineers, platform engineers, and GenAI experts focused on:
  • AI Engineering: Core AI/ML infrastructure, in-house ML platforms, multimodal agent frameworks with integrated cross-domain RAG systems, model serving, and tooling infrastructure
  • Data Platforms: Customer Data Platform, Risk Investigation systems, and Experimentation Platform
  • GenAI Solutions: Building enterprise-grade multi-agent generative AI systems to drive growth, operational efficiency, and productivity across business functions
  • AI Labs: Incubating next-gen AI applications, exploring new frameworks and models to ensure future readiness
  • Work spans strategy, platform build-out, and scalable execution across the Tata Digital ecosystem and multi-channel customer touchpoints.
GenAiCross-functional Team LeadershipData GovernanceProduct EngineeringAI AgentsLarge Language Models (LLM)+11

Expedia group

India Site Lead & Director of Engineering - Data Platforms, Analytics & ML

Aug 2020Apr 2022 · 1 yr 8 mos · Gurugram, Haryana, India

  • I had dual responsibilities of Site Lead for Hotwire India and Director of Engineering.
  • In my capacity as Site Lead, I played a pivotal role in Hotwire India's growth. I drove multiple site- level initiatives with global and local leaders to foster a positive and collaborative culture, represented Hotwire in the India leadership team, facilitated the establishment of new teams such as Mobile CoE and SiteOps through a strong pipeline of talent in the region.
  • As the Director of Engineering, I led the data charter and tech roadmap for Data Engineering, Data Infrastructure, BI & Data Platform teams at EG & Hotwire. I collaborated closely with global Product, Engineering, and Business teams, contributing to the development of technical architecture, practices, and release plans. I established operational teams to support data and analytics products, ensuring high availability and instilling a culture of continuous innovation.
Data ArchitectureLeadershipMarketing AnalyticsContinuous Integration and Continuous Delivery (CI/CD)Python (Programming Language)Data Governance+8

Thoughtworks

India Head of Data Science and Engineering

Jul 2018Aug 2020 · 2 yrs 1 mo · Gurgaon, India

  • Responsible for overall Data Business and Charter in Thoughtworks India that includes Org Design, Budgets, Capabilities and GTM.
  • Incubated and scaled a world-class Data Science and Engineering team across multiple offices of ThoughtWorks India and also served as a Data Mesh evangelist.
  • Successfully led AI-driven transformations and data strategy for renowned global enterprises, where I designed differentiated solutions, established operating models and tangible AI capabilities.
  • Incubated an AI research pod, contributing to the open source Automatic Speech Recognition.
  • Spearheaded the creation of a scalable MLOps solution for a large biometrics project, reducing time to market and maximizing impact.
  • Conceptualised and build a Computer Vision platform for retailers to analyze traffic and customer demographics in retail stores.
MicroservicesData ArchitectureDistributed SystemsKubernetesContinuous Integration and Continuous Delivery (CI/CD)Cross-functional Team Leadership+16

Nagarro

Director Technology - Global Head of Big Data & ML Practice

Jan 2015Jun 2018 · 3 yrs 5 mos · Gurgaon, Haryana, India

  • Setup Big Data and ML CoE from ground-up that includes establishing a high performing global team of engineers, data scientist, architects, and functional experts distributed across India, Europe, and the US
  • Consulted Fortune 500 companies on building enterprise data products and operational expertise in managing large scale data and analytics platforms in production
  • Led data science initiatives in the areas of customer, marketing and operational analytics by leveraging machine and deep learning techniques leading to significant gains in business revenue and optimize operations
  • Participated as subject matter speaker in various forums along with publishing articles, point of views on multiple online platforms
MicroservicesData ArchitectureDistributed SystemsMicrosoft SQL ServerPython (Programming Language)Statistical Modeling+14

S&p global

Director - Global Head of Data and Analytics Platforms for Equities

Mar 2011Jan 2015 · 3 yrs 10 mos · Noida Area, India

  • Joined Markit (now S&P Global) as part of the initial core team and part of the core leadership group responsible to scale it in India.
  • Lead the technology strategy for multi-million Equities and Indices lines of business. This involved streamlining legacy database-driven applications and transitioning them to a modern event-driven enterprise data platform
  • Built and managed globally distributed teams of highly talented platform & data engineers, business/data analysts and data scientists based out of London, Frankfurt, New York, and India
MicroservicesData ArchitectureLeadershipDistributed SystemsMicrosoft SQL ServerStatistical Modeling+9

Royal bank of scotland

Associate - Technology Architect

Mar 2009Mar 2011 · 2 yrs

MicroservicesData ArchitectureDistributed SystemsMicrosoft SQL ServerStatistical ModelingInvestment Banking+6

Satyam computer services ltd

2 roles

ING Life - Senior Technical Consultant

Jan 2008Feb 2009 · 1 yr 1 mo

  • Developed Risk Forecasting solution for ING life to forecast premium for ING”s Insurance products in Japan. It includes-
  • DB Development and Modelling, ETL pipelines using Java and storage of transformation of transactional data to star schema for analytical use cases
Microsoft SQL ServerPython (Programming Language)Statistical ModelingSolution ArchitectureBusiness IntelligenceC#+3

CitiBank - Technical Specialist

Dec 2006Dec 2007 · 1 yr

  • Developed CIBIL scoring and validation framework for realtime validation of loan applications
Microsoft SQL ServerStatistical ModelingMachine LearningSolution ArchitectureC#Software Engineering+1

Depl

Founding Member

Apr 2004Nov 2006 · 2 yrs 7 mos · New Delhi Area, India

  • Independent consultant on distributed systems with a focus on middle-tier and server-side component development
Microsoft SQL ServerStatistical ModelingMachine LearningC#Software EngineeringJava+1

Education

Massachusetts Institute of Technology

Certificate course in Big Data and Analytics — Big Data and Analytics

Delhi University - Moti Lal Nehru College

Graduate Degree

Jan 2000Jan 2003

Edexcel University, UK

Higher National Dimploma in Computing — Computer Science

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