DACS Risk Management and Visualization Tool

Overview

At Aetherum.ai, I engineered high-stakes fintech infrastructure designed to quantify risk within the volatile digital asset market. I developed the Digital Asset Credit Score, a multi-dimensional risk engine that holistically analyzes user portfolios to determine optimal loan terms and collateral requirements. To support this, I built an internal monitoring platform that integrated real-time market data, allowing the team to dynamically stress-test financial models against shifting liquidity and volatility. By bridging the gap between complex financial logic and functional product tooling, I provided the team with the decision-support system necessary to manage a high-throughput lending book. The tool was built with Flask and used data sciene libraries for visualization and data analysis.

Highlights

• Internal tool built with Flask and used data sciene libraries for visualization and data analysis
• Evaluation/backtesting harness (stress scenarios, threshold tuning, calibration) to validate reliability
• Internal dashboard for model introspection (drilldowns, explainability-style signals, audit-friendly outputs)