Headline

ENTERPRISE SaaS & PLATFORM LEADER | • Workforce Intelligence • GenAI Platforms • Product Strategy & Analytics • Enterprise Integrations

About

Product and platform leader with 12+ years of experience building and scaling data-intensive B2B platforms, AI-enabled products, enterprise workflows, analytics ecosystems, and intelligent decision systems. Experienced in translating complex business and operational problems into scalable product capabilities, data models, API-first integrations, configurable workflows, and multi-tenant platform solutions. Led product strategy for enterprise platforms integrating fragmented data across 10+ enterprise systems, enabling reusable workflows, real-time analytics, and faster decision-making across global deployments. Built and scaled modular products from 0→1 through enterprise adoption, partnering closely with engineering, data science, design, business, and leadership teams. Deep expertise in AI product strategy and AI-enabled workflow transformation, including use-case discovery, evaluation, governance, observability, human-in-the-loop design, and Total Cost of Ownership (TCO). Strong track record of creating clarity from ambiguity, balancing platform scalability with customer-specific requirements, and driving measurable product and business outcomes. Recognized for excellence through two Harvard Business Impact case studies, achieving 1st Rank in IIM Bangalore's Executive Business Analytics & Intelligence Certification and a 100% score in the Indian School of Business (ISB) Product Management Certification.

Location

Bengaluru

AI stack

openai

claudecode

Bubble AI

Canva Magic Studio

ChatGPT

Figma Make

Work experience

AI Capability & GenAI Advisory Consultant at Indian Institute of Management Bangalore, Mar 2026 - Present · 8 mos, 1. Advising executive education, innovation, and academic programs on GenAI adoption, AI-enabled learning ecosystems, and institutional capability transformation initiatives. 2. Designed and deployed Custom GPTs, Gems, AI copilots, and knowledge-grounded GenAI workflows reducing content support and research-assistance effort by 20–35% across executive and academic workflows. 3. Collaborated with faculty and leadership teams on AI-assisted learning workflows, intelligent content orchestration, and scalable AI-enabled academic experiences supporting executive learning, research, and innovation programs. 4. Accelerated AI experimentation and program enablement cycles while reducing dependency on manual content coordination and learner-support operations.

Strategic Consultant (AI Product) at Analytics Society of India, Jun 2025 - Present · 1 yr 5 mos, Bangalore Urban, 1. Leading product strategy initiatives across AI-native learning platforms, enterprise capability systems, and GenAI-enabled workforce transformation solutions supporting scalable multi-program ecosystems. 2. Defining adaptive learning journeys, capability intelligence frameworks, and AI product ecosystems reducing manual program orchestration and content management overhead by 30–35%. 3. Enabling scalable AI capability programs while contributing to estimated operational cost optimization through AI-native learning and workflow systems. 4. Supporting next-generation platform strategy spanning Agentic AI, analytics, executive learning, and AI-enabled capability development systems.

Lead Product Manager - DAFL.AI at DAFL.AI, Feb 2025 - Dec 2025 · 11 mos, Bengaluru, Engaged to drive end-to-end product strategy and execution for an AI-powered workforce intelligence platform, transforming how enterprises plan, hire, grow, and retain talent. Key Responsibilities & Impact: 1. Led end-to-end product strategy and execution for DAFL.AI, an AI-powered workforce intelligence platform enabling enterprises to design, develop, and deploy future-ready workforces. 2. Defined product vision and orchestrated integrated roadmaps across workforce strategy, talent acquisition, internal mobility, and decision intelligence modules. 3. Embedded advanced AI/ML capabilities including skill gap intelligence, JD–CV matching, role readiness scoring, and predictive workforce analytics at enterprise scale. 4. Established a modular, agentic AI product architecture enabling scalability, rapid adaptation, and reuse across multiple enterprise workforce scenarios. 5. Drove cross-functional execution across engineering, data science, design, and business stakeholders to deliver enterprise-grade outcomes and adoption. 6. Delivered measurable business impact including faster time-to-hire, improved internal mobility, reduced attrition risk, and higher workforce readiness.

AI and Future Skills Learning Product Manager at NautilusPrinciple, Jan 2024 - Aug 2025 · 1 yr 8 mos, 1. Pioneering Product Development: Spearhead the creation of cutting-edge AI-infused learning products, conceptualizing innovative features and functionalities that anticipate and address future skills demands. 2. Futuristic Road-mapping: Develop forward-looking roadmaps that leverage AI and predictive analytics to forecast industry trends and learner needs, ensuring that products remain at the forefront of educational innovation. 3. Collaborative Innovation Ecosystem: Foster a collaborative ecosystem by partnering with leading industry experts, academic institutions, and technology innovators to co-create next-generation learning solutions that push the boundaries of traditional education. 4. AI-driven Personalization: Harness the power of AI algorithms to deliver hyper-personalized learning experiences, tailoring content, assessments, and interventions to individual learner preferences, strengths, and goals in real-time. 5. Continuous Iterative Optimization: Implement a data-driven approach to continuous improvement, leveraging advanced analytics and machine learning to analyze user interactions, optimize product performance, and iteratively enhance learning outcomes.

Head of Data Science and AI Academy (Consultant) at Packt, Jun 2023 - Jul 2024 · 1 yr 2 mos, 1. Curriculum Development Oversight: Lead the development of a comprehensive data science and AI training pathway, ensuring alignment with industry demands and high client and expert satisfaction rates. 2. Structured Learning Path Design: Design a structured learning path with specialization tracks, incorporating industry trends and transferability factors to meet the diverse needs of graduates. 3. Hands-on Project Effectiveness Monitoring: Track skill transfer to real or simulated projects, ensuring milestone achievements and assessing project quality and complexity levels. 4. Peer and Expert Evaluation Implementation: Establish mechanisms for peer reviews and expert evaluations, aiming for high positive feedback and meeting industry standards. 5. Graduate Performance and Deployment Engagement: Develop performance monitoring dashboards, facilitate client interaction readiness, ensure deployment readiness, monitor deployment success, and gather client feedback for continuous improvement.

Data Product Manager (L&D) at NautilusPrinciple, Jan 2023 - Dec 2023 · 1 yr, 1. Establish a disruptive product in data profiles hiring (for businesses), in data job recommendations (for candidates), and in data gig assignments. 2. Competitive Positioning: Identify key differentiators and position the skilling mechanism 3. Customer Interventions & Engagement: Identify key parameters that drive customer satisfaction as well as dropout 4. Automate rewards and personalize bite-sized learning

Product Strategy Manager at Wiley, May 2022 - Dec 2022 · 7 mo, Bangalore

AI Pedagogical Research + Program Manager at IIM Bangalore, May 2014 - May 2022 · 8 y, Bangalore

Education

Executive Education Programme, Business Analytics and Intelligence, Indian Institute of Management Bangalore

Five-Year Integrated Master's Degree, Theoretical computer Science, PSG College of Technology