Over 20 years building evidence-driven AI systems grounded in observable reality — from 100M-document enterprise platforms and Earth-observation intelligence to national pension models and international economic standards embedded in IFRS & GAAP.
I am an economist–engineer specializing in evidence-driven artificial intelligence systems. My work focuses on AI grounded in empirical evidence and physical reality — where inference chains are traceable, outputs are measurable, and decisions are auditable.
The defining thread across my career is the emphasis on observed actions and measurable outputs, rather than self-reported metrics or opaque black-box models. This makes my systems particularly suitable for government, mission-critical, and industrial deployments where accountability is non-negotiable.
I hold a PhD in Economics from UBC, a B.Tech in Chemical Engineering from IIT Kanpur, and Executive certificates from Harvard Kennedy School and Columbia Business School.
Leads Industrial AI and Earth-observation driven decision systems within the SPASE Department. Focuses on physical-world grounding of AI models, traceable inference chains, and translation of EO satellite data into actionable industrial intelligence.
Leads AI-supported research and analytics projects for governments and major industry groups. Built systems to synthesize ESG, sustainability, and productivity evidence at scale.
Founded and led an AI company converting real organizational behavior into machine-readable evidence for decision intelligence. Successfully acquired in 2025.
Designed NLP-based skills and labor-market intelligence systems. Built production ML pipelines and large-scale skills ontologies for a future-of-work platform.
Evaluated multi-billion-dollar development portfolios across 30+ countries for one of the world's largest multilateral development lenders.
Costed national policy initiatives and provided economic analysis directly to Parliament. Built actuarial and economic models for Canada's national pension system.
Led work on productivity, intangible assets, and competitiveness. Built international STI indicators with contributions later embedded in global accounting standards.
Foundational roles spanning quantitative economic modeling, large-scale engineering management, and enterprise software development across three major organizations.
Enterprise AI platform operating on 100M+ documents and activity records. Converts real organizational behavior into machine-readable decision intelligence via LLM-powered pipelines.
Visit Lunge SystemsIndustrial AI models for profitable decarbonization. Combines physical-world data, engineering constraints, and economic modeling to identify actionable net-zero pathways.
Visit Moonshot ZeroHuman capital investment contracts — pioneering new financial structures for investing in talent, skills, and human potential. Reimagining workforce development financing.
Visit PPO-99
A bold, practical, and inspiring collection of guidebooks designed to help professionals and entrepreneurs in their 40s and beyond break free from limits and step into their highest potential.
Grounded in the same evidence-based, systems-thinking approach that defines Dr. Gupta's professional work — applied to personal reinvention, leadership, and lasting legacy.
Whether you're exploring AI system design, policy analytics, advisory engagements, or speaking opportunities — I'm interested in conversations grounded in evidence and oriented toward real impact.