Selected work across civic technology, visual development, and environmental research.
RASTHE lets citizens report unsafe footpaths and pedestrian infrastructure, turning individual street-level experiences into structured civic evidence. It reached 10,000+ users within one week and has recorded 3,000+ citizen reports and 100+ resolved issues.
I also trained a machine-learning model using RASTHE report data to explore patterns across reported safety issues.
theTraffic makes traffic-signal information and urban-mobility data easier for ordinary citizens to understand. It reached approximately 6,000 users in its first day.
Its reproducible civic-data layer contains 3,000+ mapped infrastructure records, including 579 intersections reconstructed from 1,392 OpenStreetMap signal nodes and 124 parsed public timing documents.
It is a public-data research layer—not a live traffic-control system, navigation service, or claim of universal signal-timing coverage.
Flake AI, also developed as Flake Labs, turns live websites into editable visual interfaces with code and GitHub synchronisation. The prototype was tested with 50 early frontend engineers.
The project is supported through my selection as the youngest fellow in my Emergent Ventures cohort.
I am investigating whether materials derived from Parthenium hysterophorus can support the recovery of pharmaceutical contaminants from water.
The paper is being developed around measured influent and effluent concentrations, contaminant loading retained by the material, matched controls, and leaching and safety checks.
This research is still in progress, so I am not claiming a validated recovery efficiency yet.
