Ing. Ahmed Elazab

Collaborated with multifunctional team on AI initiatives to optimize national financial operations for the Ministry of Finance. • Falcon (National Cashflow): Developed time-series LGBM model to track/predict cashflow across 500+ Saudi national projects, improving fiscal planning accuracy by 6%. • Agentic AI Framework: Partnered with AIXplain to deploy a fine-tuned DeepSeek-R1-70B on STC’s sovereign cloud, enabling autonomous task execution. Alongside building conditional AI agent to orchestrate workflows.

PS Data Scientist / Dev-OPS responsible for the development of global scalable data driven predictive modeling • Detecta: Built a full science predictive/diagnostic solution (Random Forest / SHAP) based to root cause faults & eliminate scrap and unplanned stops via presenting instant feature importance. • Control tower: Developed a predictive maintenance solution where an LSTM predicts equipment next state • Watch Tower: Developed an XG-boost model to predict delays in sea freight shipments.