I'm a software engineer interested in systems programming, machine learning infrastructure, and the places where the two meet. I recently finished a B.A. in Philosophy with a Computer Science minor at the University of Texas at Dallas, where I studied on a full-ride National Merit scholarship.
My research background is in applied machine learning for geoscience. Working with Dr. Ellen Rathje at UT Austin, I built GLAS, a global landslide analytics system trained on GLIF — a dataset compiled from roughly 200GB of geophysical data across six sources. That work took a first grand prize at ISEF and was published at the 2021 IEEE MIT URTC.
Since then I've worked as a software engineer at PwC and Minion AI, and I spend most of my free time writing Rust: a chess engine built on magic bitboards, a terminal video-calling client that renders frames as sixel graphics, and the FFI bindings underneath it.

Shrey Joshi*, Ishaan Javali*, Ellen Rathje (* equal contribution)
IEEE MIT Undergraduate Research Technology Conference (URTC) 2021
A scalable, low-latency system for global landslide forecasting, severity assessment, and date estimation, built on GLIF — the first publicly available dataset of Global Landslide Incidents and Features, compiled from roughly 200GB of elevation, climate, lithology, forest-change, and infrastructure data across six sources.
Shrey Joshi*, Ishaan Javali*, Ellen Rathje (* equal contribution)
IEEE MIT Undergraduate Research Technology Conference (URTC) 2021
A scalable, low-latency system for global landslide forecasting, severity assessment, and date estimation, built on GLIF — the first publicly available dataset of Global Landslide Incidents and Features, compiled from roughly 200GB of elevation, climate, lithology, forest-change, and infrastructure data across six sources.