As part of the Corporate Strategy and Business Development team at Ingersoll Rand, I focus on identifying strategic opportunities and leading growth initiatives that support the organization’s long-term goals.
I am currently pursuing a Doctorate in Business Administration with a focus on AI, driven by my interest in leveraging advanced technologies to solve complex industry challenges. My career started as an R&D Engineer at Larsen & Toubro (L&T) in India, where I built a strong foundation in engineering and manufacturing. I later spent over 12 years at Frost & Sullivan, moving from Research Analyst to Global Leader of Research. During that time, I led strategic consulting projects, supported Fortune 500 companies, and helped develop growth strategies in the industrial sector. My background includes experience in industrial markets, manufacturing, business strategy, digital transformation, and AI.
I hold a Bachelor of Engineering in Production Engineering from the Government College of Technology, Coimbatore, India, where I graduated as a university gold medalist, and an MBA from BIM Trichy, India. I am currently completing my Doctorate of Business Administration in AI at Marymount University in Arlington, VA. I live in Huntersville, NC, with my wife and two daughters.
Bringing Industry Expertise, Strategic Insights, and AI Innovation Together
With over 20 years of expertise in industrial research, corporate strategy, and AI-driven innovation, I bridge the gap between complex engineering and strategic decision-making. From designing intricate mechanical systems to leading global research teams and driving corporate growth, I excel at transforming data into actionable insights that deliver measurable results.
Executive Engineer
Research & Development
Jul 2005 - Jun 2007
Designed and developed industrial equipment with a focus on mechanical systems. Created 3D models, optimized components, and collaborated with cross-functional teams to ensure design efficiency and manufacturability.
Global Leader
Industrial Automation & Process Control
Jul 2009 - Oct 2021
Led strategic consulting projects for Fortune 500 companies in industrial automation. Specialized in market research, trend analysis, and growth strategies, with a focus on manufacturing and energy sectors.
Director
Corp. Strategy & Biz Development
Oct 2021 - Present
Drive corporate growth initiatives including AI projects, M&A, and digital transformation strategies. Focused on identifying strategic opportunities and leveraging actionable insights to solve complex industrial challenges.
Doctorate of Business Administration | Business Intelligence and AI
CSCP® (Certified Supply Chain Professional), Supply Chain Management
Master of Business Administration (MBA), Operation and Finance
Bachelor of Engineering (B.E.)., Production Engineering
The manufacturing industry is experiencing transformative shifts due to the integration of AI. While AI promises enhanced strategic execution, competitive advantage, and operational efficiency, it also brings human-centered challenges. This dissertation explores how executive leadership teams in manufacturing organizations can effectively implement AI while maintaining workplace well-being and ethical practices. Through a convergent parallel design, the research delves into employee experiences, leadership strategies, and organizational outcomes to bridge the gap between AI’s potential and its real-world challenges.
This quantitative survey focuses on employees in the U.S. manufacturing sector to explore their perceptions of AI adoption. It investigates how innovation characteristics, trust, and discomfort influence current and future AI use and examines how these factors impact workplace well-being. The study will employ advanced statistical methods to uncover the relationships between employee experiences and AI adoption.
Through in-depth qualitative interviews with senior executives, this study will explore leadership perspectives on AI’s strategic role. It focuses on decision-making, ethical challenges, risk management, and how leaders address employee concerns about work-life balance and engagement. Thematic analysis highlights leadership strategies and narratives surrounding AI adoption.
This quantitative secondary analysis evaluates the impact of AI adoption on firm value and competitive advantage. Analyzing financial and operational data from U.S. manufacturing companies over a decade, the study will use advanced statistical analysis to assess changes in key metrics, comparing companies that have adopted AI with those that haven’t.
Nov 15, 2024
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This paper examines the integration of Artificial Intelligence (AI) in manufacturing organizations, emphasizing its impact on strategy execution and performance. While AI offers significant potential for improving efficiency and decision-making, its adoption faces challenges, including technological investment, ethical concerns, and workforce implications. The proposed AI-Enhanced Strategic Execution Framework (AISEF) highlights critical areas for leveraging AI, such as strategic alignment, leadership adaptation, ethical governance, and employee engagement. By addressing behavioral and strategic factors, AISEF aims to guide organizations in navigating AI complexities responsibly. The study provides a foundation for future research to explore AI's role in enhancing organizational performance.
Nov 10, 2024
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A short case study that explores the strategic market expansion and leadership transformation of a regional outdoor equipment chain aiming to enter the outdoor recreation market across Virginia, Maryland, and North Carolina.
Explore My Projects Portfolio – AI-Driven Solutions & Innovations
A GenAI-powered assistant that streamlines new customer discovery by analyzing past successful orders and identifying potential clients in similar industries. It reduces manual prospecting efforts, improving sales efficiency and MQL-to-Won ratios.
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An AI-driven tool that automates sales call planning and optimizes marketing campaigns. It personalizes outreach based on customer data, increasing pipeline size, conversion rates, and customer engagement.
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An AI system that routes incoming leads efficiently, ensuring faster responses and better alignment with sales teams. It also identifies cross-selling opportunities, enhancing lead conversion rates and customer satisfaction.
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A GenAI chatbot that acts as a domain expert for technicians and service engineers. It provides instant, accurate answers to technical questions, reducing onboarding time for new employees and improving case resolution times.
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An AI tool using Retrieval-Augmented Generation (RAG) to scan technical documents and provide source-referenced answers. It accelerates engineering workflows by streamlining document searches and ensuring critical information isn't missed.
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An AI-powered tool that monitors competitor pricing across online platforms and suggests real-time pricing adjustments. It helps businesses optimize pricing strategies, improve competitiveness, and capture greater market share.
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An AI solution that accelerates market research by generating initial topic lists, refining searches based on user feedback, and delivering actionable insights. It reduces research time and enhances decision-making.
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A robotic arm system controlled by ChatGPT, integrating webcams as a vision system and powered by a Raspberry Pi. This project demonstrates natural language-controlled robotics, allowing users to command the robotic arm in real-time through conversational inputs.
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