The project aims to develop a decentralized infrastructure to observe, audit, and document the systemic effects of large-scale algorithmic deployments, with a focus on transparency, institutional resilience, and socio-economic impact.

It brings together applied research, data governance, and strategic system design to build infrastructures that align technology with human values.

Phase 1: The first phase of the project focuses on developing experimental machine learning models to detect and analyze preliminary systemic effects and biases within existing datasets. This early-stage exploration will provide actionable insights and serve as a foundation for the broader decentralized auditing infrastructure.

Currently on pause.

Participant - Perplexity Hackathon (2025)

Currently developing Insight & Metrics, a real-time, AI-powered dashboard (from my portfolio project) focused on climate reasoning, bias detection, and open knowledge synthesis — leveraging Perplexity’s API to explore civic use cases of search-powered intelligence. I chose to integrate this project into my portfolio to align efforts strategically: completing the portfolio while delivering a relevant hackathon prototype (d'une pierre deux coups) and turning personal development into public impact.