ibrahim boudagga

• Architected autonomous Revenue Ops Agent using LangGraph, orchestrating multi-agent teams to generate strategic diagnostic reports in seconds, closing the "Diagnostic Gap" for revenue managers • Designed and deployed Mini-RAG architecture with asynchronous processing (Celery worker pools) and hybrid search capabilities, improving retrieval precision by 25% • Built production-grade time series forecasting systems predicting hotel demand with 18% accuracy improvement, directly impacting revenue optimization strategies • Developed dynamic pricing and optimization engines • Created automated competitor pricing analysis tools • Established MLOps pipelines with data validation and monitoring, • Mentored junior data scientists and collaborated cross-functionally with cloud and UI teams to productionize ML services in a global scalable environment

-Developed and deployed machine learning models to solve business problems in various domains, including borrower segmentation, interest rate predictor, D&B score classifier, startup valuation engine, green scoring classifier, medicines pricing engine and leads scoring generator. -Developed dashboards and reports using Power BI and Excel to visualize and communicate insights to various audiences. -Worked closely with cross-functional teams, including product management, engineering, and sales, to identify opportunities for data-driven decision-making.

• Built CNN-based computer vision models for satellite and road imagery analysis, reducing infrastructure planning manual effort significantly • Developed advanced semi-supervised learning algorithms for noisy/incomplete datasets, improving data quality for market prospecting by 35% • Delivered full-stack ML solutions from data acquisition and cleaning to automated model deployment; promoted to lead engineer in 2019