Building at the intersection of Technology and Business Strategy
Strategist and AI builder applying quantitative thinking to business, management, and innovation.
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Tokenomics
Tokenomics is a token-aware optimization and memory layer that sits between your application and LLM providers, intelligently allocating tokens, learning from past interactions, and reducing unnecessary computational waste.
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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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