Engineer & Computational Social Scientist · Fair AI for Public Systems
SARAL — Algorithmic Welfare Triage
An operator-facing decision-support probe built to measure how human discretion and algorithmic overrides operate in street-level welfare access. The system tests the limits of structured data representation in discretionary environments.
Project Nagrik — Foundational Ethnography
A mixed-methods study (N=100+ surveys, 12 ethnographic interviews) across rural Maharashtra mapping administrative gatekeeping, digital exclusion, and institutional trust to inform socio-technical interventions.
I am Parth Mody, an engineer and researcher-in-training focused on how AI, data science, and institutional design interact within public systems. My work investigates the friction between algorithmic decision support and human administrative discretion.
I combine computational methods, qualitative fieldwork, and system design to build empirical probes like SARAL and Project Nagrik. I am currently completing my Master of Data Science & Decisions at UNSW in Sydney.