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Parallelism Labs

Learn

Learn by building real things.

Students work on the same problems we do — with guidance, reviews and credit for the work.

Learning resources

Curated reading paths and notes for AI, systems and research methods.

Hands-on projects

Small, real projects with reviews — the fastest way to learn.

Mentorship

One-to-one guidance from people who've shipped and published.

Workshops

In-person and online sessions, starting in Tripura.

Open-source initiatives

Contribute to the lab's public code and learn the workflow.

Student Fellowship

A seat at the lab.

Fellows join a real project for a fixed term, with a mentor, weekly reviews and a clear goal — a paper, a release, or a working system.

No prior research experience needed. Curiosity, consistency and honesty about what you don't know matter more.

Upcoming workshops

Calendar

First workshop coming soon.

Sign up below and you'll hear first.

Newsletter

Occasional notes on research, workshops and openings.