Translating AI Capabilities into Scalable Business Models
Specializing in AI Implementation, Unit Economics, and Technical Product Strategy.
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Thoughts on strategy, AI, and quantitative thinking
Swiggy vs Zomato: A Business Case Study on Tech, Strategy & Profitability!
Have you ever craved biryani at midnight, opened your favorite food delivery app, and placed an order with just a few taps? It seems so simple from the customer’s perspective, but behind the scenes,...
Read more→Rewiring for Digital Transformation: The Strategic Foundation (Part 1)
A Consulting Perspective We are in an era where digital and AI technologies are redefining industries, reshaping competitive landscapes, and transforming business operations. Companies worldwide...
Read more→Why India’s Risk Premium Rose: A Playbook of Volatility, Reform, and Global Recalibration
US Downgrade Shifts the Baseline: Moody’s historic downgrade of US sovereign debt from Aaa to Aa1 in May 2025 nudged down the “mature market” equity risk premium (ERP) anchor by 12 bps. However,...
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AdVantage Ecosystem: Narrative-Based Learning and Motivation Architecture
Traditional online learning platforms suffer from low engagement, weak motivation loops, and poor real-world outcomes. Students often drop off due to lack of structure, feedback, and peer interaction. I designed AdVantage Ecosystem — with QuestLabs, Collaborative Spaces, and Community Spaces — to re-architect the motivation system of learning using narrative gamification, peer collaboration, and intrinsic motivator design.
Learn more→Tokenomics: Building an AI Token Optimization Layer for Efficient LLM Workflows
As LLM adoption grows, teams face rapidly increasing inference costs driven by inefficient prompts, long contexts, and redundant retrieval. Token usage often scales faster than value, creating a hidden cost spiral in AI systems. I built Tokenomics, an AI token optimization layer designed to reduce cost, latency, and context overhead while maintaining output quality.
Learn more→Portfolio Risk Simulator: Monte Carlo Modeling for Market Risk
Most personal finance tools show static charts that fail to capture the randomness of markets. Beginners struggle to understand volatility, drawdowns, Value at Risk (VaR), and how uncertainty compounds over time. I built a web-based portfolio simulator that uses Geometric Brownian Motion (GBM), Monte Carlo simulations, and multi-asset correlation modeling to make portfolio risk intuitive and interactive for real users.
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