Declassified project files. Real problems, engineered solutions.
Client had vast amounts of historical trial data but no way to leverage it effectively. Manual forecasting took 2 people over 3 days per cycle.
Reduced manual effort by 90% (saving 48+ man-hours per cycle). Significantly improved forecast accuracy by identifying hidden patterns in historical data.
Legacy risk assessment models were too slow for real-time trading, leading to missed opportunities and exposure.
Reduced latency from seconds to milliseconds. Enabled real-time risk checks for over 1M+ daily transactions.
Inefficient routing was causing 20% excess fuel costs and delayed deliveries.
Cut fuel costs by 18% in the first quarter. Improved on-time delivery rate to 98%.
Unstable manual deployments and frequent downtime during traffic spikes.
Achieved 99.99% uptime. Deployment time reduced from hours to minutes.
