Hi, I'm Avinash, a physics student at IIT Delhi pushing code lately

I build machine learning for physics, and the tools around it.

Transformers that read particle jets, ice maps of the Moon's south pole, rescue drone swarms, and small tools that help students reach researchers. Everything here is open source and pulled live from GitHub.

━ tracks curve in the magnetic field · ▮ calorimeter energy · ━ muon · tap the detector

01 / activity

Event stream

Every commit across my repositories, laid out like a trace. Pick a repository on the left; bars show when each commit landed inside that repo's history.

trace —
— COMMITS — DAYS
SPANSTARTWHEN

02 / how I work

Measured, compared, shipped.

Repo health

Every project, checked

Commits in the last 30 days and how recently each repository moved.

    Libraries

    What my code imports

    Third-party imports found in every .py and .ipynb, stacked by domain.

    Latest diff

    From the last commit

    —

    
          
    —repos

    public projects with code

    —/yr

    contributions in the last year

    —KB

    of source across all repos

    —★

    stars from people who use it

    03 / projects

    What I've built

    Read from each repository: its description, README or module docstrings, plus the libraries it actually imports.

    04 / stack

    What I build with

    LIBRARYDOMAINUSAGEREPOS
    contributions · last 12 months—

    05 / support

    Fuel the next experiment.

    I build to understand: jets, lunar ice, drone swarms, outreach tools. It all runs on a student laptop and stays open source. Support pays for GPU hours, datasets, robotics parts, and keeps my tools free for other students.