Senior AI, analytics, and enterprise transformation partners helping organizations convert AI ambition into measurable business impact.
VM Micro works with consulting partners across strategy, domain expertise, capability building, governance, and implementation support to help enterprises scale AI adoption responsibly.
Successful enterprise AI adoption requires more than just algorithms. It demands seasoned leadership, deep domain expertise, and a clear alignment between business strategy and execution. Our consulting partners bring decades of experience from leading global academic and corporate institutions to guide your AI journey.
Senior leaders bringing world-class expertise in AI strategy, platform engineering, data architecture, and marketing analytics.
Manish Gangwar is a Principal Consulting Partner at VM Micro, bringing world-class academic and industry expertise in business analytics, quantitative marketing, and pricing strategy. He is an Associate Professor of Marketing at the Indian School of Business (ISB) and serves as the Executive Director of the Institute of Data Science and Business Analytics (IIDS) at ISB. Manish is an alumnus of IIT Roorkee and holds an MS from the University of Kentucky and a PhD in Management Science from the University of Texas at Dallas.
At VM Micro, Manish advises enterprise clients on leveraging quantitative models, machine learning, and econometrics to solve complex business problems. His expertise spans dynamic pricing strategies, SaaS revenue models, omnichannel retail analytics, and the applications of artificial intelligence in marketing. He specializes in helping organizations transition from data accumulation to strategic data utilization, establishing frameworks for data-driven decisions that enhance customer value and profitability. Through his extensive research background and leadership of executive education programs, Manish provides clients with cutting-edge, scientifically validated methodologies for enterprise analytics and digital strategy.
V. Padmaraj is the Lead Partner at VM Micro, directing applied AI research, advanced optimization algorithms, and predictive frameworks. He is an alumnus of IIT Madras, MIT, and the University of Florida. As a strategic technology and business leader, Padmaraj has extensive experience in AI-driven transformation, industrial applications, and enterprise enablement solutions.
At VM Micro, Padmaraj oversees advanced research and development initiatives, guiding teams of engineers and analysts in building custom machine learning models and optimization systems. He specializes in designing corporate enablement strategies, enterprise partnerships, and structured AI adoption roadmaps. By focusing on business transformation and leadership development, Padmaraj ensures that companies leverage artificial intelligence as a strategic competitive advantage rather than just an isolated technology. His work bridges high-level research with industrial process optimization, enabling organizations to achieve operational efficiency, predictive accuracy, and scalable digital modernization.
Gaurav Gupta is a Consulting Partner at VM Micro, specializing in data science, analytics platforms, and enterprise AI adoption. He is an alumnus of IIT Roorkee and IIM Bangalore. With over two decades of technology leadership experience, Gaurav possesses deep technical expertise in data science, software development, and analytics systems, with specialized experience in CAD systems for automotive design, telecommunication networks, and supply chain implementations.
At VM Micro, Gaurav advises clients on designing scalable analytics platforms, developing custom AI agent systems, and implementing data-driven decision-making models. He focuses on ensuring that technology architectures directly translate into measurable operational improvements and business value. Through his extensive experience in software delivery and technical mentoring, Gaurav guides organizations in bridging the gap between technical complexity and practical business applications, helping enterprise teams establish stable, robust, and high-performance data foundations necessary for sustainable AI execution.
Vineet Srivastava is a Consulting Partner at VM Micro, specializing in enterprise AI strategy, digital transformation, and applied AI capability building. An alumnus of IIT Roorkee, he brings decades of professional experience in enterprise strategy, business transformation, and analytics. Vineet has a proven track record of designing scalable AI enablement solutions, conducting executive workshops, and leading strategic digital programs for modern organizations.
At VM Micro, Vineet focuses on bridging the gap between advanced research and practical business applications. He is instrumental in shaping frameworks that help enterprises build internal AI capabilities and accelerate organizational adoption. By establishing collaborations between industry teams, academic researchers, and domain experts, Vineet helps organizations transform emerging technologies into structured business advantages. His work empowers enterprise leaders to successfully navigate the complexities of AI adoption while ensuring that transformation programs remain accessible, practical, and aligned with core business priorities.
Gayatri Sahasrabuddhe is an Associate Consulting Partner at VM Micro, specializing in data engineering, enterprise data architecture, and pipeline integrations. An alumna of IIT Bombay, she brings extensive expertise in data management, business intelligence, analytics, and technical leadership. Gayatri is dedicated to making complex data systems intuitive, practical, and highly performant for modern businesses.
At VM Micro, Gayatri leads data architecture design, enterprise schema mapping, and secure data pipeline integration. She works closely with client organizations to build the clean and robust data layers that are essential for deploying scalable, reliable, and compliant AI models. Her work ensures that enterprise data pipelines are engineered to meet rigorous compliance and governance requirements. Through her experience in academic-industry collaborations and corporate workshops, Gayatri helps cross-functional teams align their data infrastructure with operational objectives, facilitating smooth and sustainable AI integration across diverse business units.
Engaging with senior advisors to accelerate your journey from strategic planning to enterprise-wide scale.
Helping enterprise leadership define clear roadmaps, assess technological maturity, and set up robust risk-mitigating governance frameworks.
Exploring and prioritizing high-impact AI use cases tailored to your specific industry sector and operational workflows.
Designing secure, compliant, and enterprise-grade AI agent systems, data architectures, and predictive analytics platforms.
Building internal capabilities, training technical teams, managing change, and establishing responsible scaling practices.
Partner with our senior advisors to assess your readiness, discover high-impact use cases, and implement enterprise-grade AI solutions.