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.

Explore my research and writing or view the applications I've built.

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.
Technical Writing AI Research Applied Science
Medium →

Applications Built (so far)

Rock Identifier AI: Stone ID iOS

176 active users · 233 sessions

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

Computer Vision App Store →

Receipt Scanner AI iOS

60 active users · 133 sessions

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

Document Analysis App Store →

AI Coding Tools Directory web

4.3K users · 4.8K sessions

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

Benchmarking Visit →

AI PM Tools Directory web

1K users · 1.1K sessions

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

Project/Product Mgmt Visit →

View detailed technical breakdowns →

Connect