Kaushik Rajan

Engineer and Computer Scientist

Kaushik Rajan

What have I done so far

I have nearly a decade of experience in engineering and applied science within the tech industry, including four years at Amazon (US), where I developed production-level time-series forecasting models that predicted billions of dollars in advertising revenue.

I hold a Master's in Computer Science from NC State University. I stay connected to the most recent scientific research in applied computer science and aim to apply those learnings to the applications I develop through my bootstrapped foundry approach.

View CV →

What am I currently doing

Solo, bootstrapped startup (applied science business) scaled through agent-orchestrated workflows. Semi-automated system where multiple AI agents collaboratively digest AI/ML research, identify applicable techniques, and develop consumer applications for web and iOS deployment.

In parallel, I am seeking a PhD in Applied AI to build deep specific knowledge within a productive research group. Current interests include multi-agent systems, causal inference, and computer vision.

View the applications I've built or explore my research and writing.

Applications Built (so far)

AI Coding Tools Directory web

6.8K lifetime users · 7.7K lifetime sessions

Find the right coding assistant quickly—clear summaries, unbiased comparisons, and quick filters.

Free tools: AI Tool Quiz · Prompt Builder · Token Calculator

AI PM Tools Directory web

1.6K lifetime users · 1.7K lifetime sessions

Choose AI tools for your PM workflow faster—plain‑English summaries, unbiased comparisons, and quick filters by need.

Rock Identifier AI: Stone ID iOS

218 lifetime users

Identify rocks and minerals from photos using vision‑language models with geological context.

Receipt Scanner AI iOS

63 lifetime users

Turn receipt photos into structured expenses with AI‑powered budget tracking and iCloud sync.

View detailed technical breakdowns →

Writing & Research

Technical Writing Medium

Lifetime Metrics
Engagement Metrics
  • Total views: 24,800
  • Total reads: 9,400
  • Total articles: 68
  • Followers: 346
Content Categories
  • AI/ML Research & Theory: 48
  • App Development & Tutorials: 13
  • Personal Insights & Book Reviews: 7
AI/ML Research & Theory, Personal Insights & Book Reviews, App Development & Tutorials are the content categories.
  • Deep technical articles on AI, machine learning, and app development.
  • Hands-on tutorials with real implementation examples and code.
  • Research insights from applied computer science and industry experience.