maps the seasons
the current season — HERBARIUM
Garvit Pandia is a computer scientist who treats data the way a field botanist treats a hillside — slowly, specimen by specimen, notebook always open. His work runs from pressed-plant identification to bird counts from camera traps, each project logged like a field report: observe, collect, press, publish.
Right now he is deciding which plot the next season will cover — and which instruments will read it best.
A field keeps its own ledger — in leaf, in pollen, in the rings of a stem. The data is only the season's handwriting.
Both projects are live, public and out in the field — built end-to-end, from raw observations to a deployed interface. Drag or scroll sideways; the strip snaps.
A shelf of experiments sits half-pressed and fully loved in the notebook. They meet the world on GitHub.
open the notebook →Everything below has been used on a real dataset or a real deployment — nothing listed for decoration.
From a school science fair to a degree in applied sciences — the line below draws itself as you pass it. Orange where it started, teal where it is now.
Uttaranga Institute of Applied Sciences
CGPA 8.8 alumni
DeepLearning.AI · self-study
The course that made me treat models like field instruments — test, re-check, log
GitHub · certification
git as a field ledger — every change stamped and dated
Google Cloud · certification
infrastructure as field kit — provisioned, logged, retired
Certificates and rankings, filed like a proper field journal. Hover a row — the ink slides in.
A one-line note is enough — I read everything and answer within a day. Fieldwork, collaborations, or just a question about a specimen: it all lands in the same inbox.