Dr. Nishant Kulkarni — CEO

I lead technology and AI initiatives that turn complex data, cloud, and platform problems into measurable business outcomes. Over the last 20+ years, I’ve worked across Telecom, Manufacturing, Retail, CPG, Public Sector, Banking, Finance, enterprise platforms, and cloud ecosystems, building and scaling solutions that improve revenue, efficiency, and customer experience. At Google, I work with strategic customers to design and deliver data and AI platforms on cloud, aligning technical architectures with C-suite priorities such as growth, cost optimization, and speed of innovation. My PhD in Data & AI focused on “The AI Convergence: Data Unification and Aggregation as the Catalyst for Enterprise Intelligence,” where I worked on how to bring siloed data, applications, and AI together into a single, decision-ready fabric for large organizations. That perspective now shapes how I design platforms, roadmaps, and operating models for enterprises looking to move beyond pilots and into production-scale AI. • I build and lead high-performing, cross-functional teams, drive complex programs from idea to production, and create repeatable frameworks that scale across organizations. • Led end-to-end design and delivery of multi-year, multi-million-dollar data and AI platform programs for Fortune 500 clients, aligning roadmaps with CxO priorities in marketing, operations, and analytics. • Directed cross-functional teams (engineering, product, data science, partners) to deliver secure, compliant cloud architectures that reduced time-to-insight by X% and lowered infrastructure costs by $Y. • Created standardized reference architectures and playbooks for [domain], enabling reuse across N+ customers and shortening sales-to-value cycles. • Acted as executive advisor to VP/CTO-level stakeholders on AI adoption, organizational readiness, and operating model design. Focus areas: • Enterprise AI and data platform strategy • Cloud modernization and migration at scale • Intelligent products and decision-support systems • Platform engineering and architecture governance • Executive storytelling, roadmaps, and stakeholder alignment I work with VP / Director / CTO-level executives where technology, AI, and data are core to the business model and where there is a mandate to transform, not just maintain.

Stackforce AI infers this person is a leader in AI and data platform engineering for enterprise solutions.

Location: Austin, Texas, United States

Experience: 20 yrs 8 mos