Rahul Rawal

Running a 100-day LinkedIn series telling the complete story of AI — from Alan Turing in 1950 to modern agents and LLMs. One person, one paper, or one breakthrough per day. Written for business leaders and professionals who want the real story without the jargon. 11 days in and counting.

Presented ML-based anomaly detection and SLA prediction systems to senior stakeholders at DXC. Built using XGBoost and Random Forest — the SLA prediction model achieved 0.1% variance in forecast accuracy. Currently under patent review as a first-of-kind application of predictive ML in backup operations.