Kaushik Rajan

Applied Scientist and Researcher

I have nearly a decade of engineering and applied science experience in the tech industry. This includes four years at Amazon (US), where I developed production-level statistical and time series forecasting models. These models accurately predicted billions in advertising revenue. I also hold a Master's in Computer Science from NC State University.

My current focus: independent research in deep reinforcement learning (DRL), game theory, and their applications in multi-agent systems. I translate theoretical insights into practical tools, building iOS and web applications.

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Kaushik Rajan

Research Focus

  • Multi-agent Reinforcement Learning: Designing environments where multiple agents learn cooperation through incentive mechanisms
  • Game Theory & Mechanism Design: Applying cooperative game solutions to AI systems that maximize collective utility
  • Decision Science: Building AI models that replicate human decision patterns in resource allocation tasks

For a deeper dive, see my research publications and related articles on my blog.

iOS Apps

I develop iOS applications, applying insights from AI and game theory.

Example: My Unit Converter + Currency app simplifies daily measurements and provides up-to-date currency conversions. Explore this and others on the Applications page.

Wider Explorations

Travel and contemplative practices are valuable to my learning and creative process. I plan to share my experiences on my blog in the upcoming months."