Ing. Murad Daryousse

• Designed and built scalable agentic AI solutions and intelligent ML systems to optimize oil production, enhancing well efficiency and operational stability. • Designed AI at the edge solutions to enable real-time decision making and increase operational efficiency in low-connectivity field environments. • Spearheaded MLOps initiatives achieving a 60% improvement in development productivity, model traceability, pipeline reproducibility, and operational observability.

• Managed a team of 5 data analytics engineers; designed and delivered enterprise analytics dashboards, reports, and data marts across multiple telecom OpCos. • Developed ML models for outlier and novelty detection for data quality control, achieving a 30% enhancement in business report accuracy. • Led data lakehouse projects and the Flare Time Machine product implementation for data archiving, storage tiering, and data protection.

• Developed business semantic reports, data marts, and analytics dashboards; implemented data quality monitoring pipelines. • Built ETL/ELT pipelines into enterprise data lakehouses and developed CI/CD pipelines for deployment automation. • Led the development of advanced data architecture and integration solutions; mentored junior engineers on best practices.

Develop Spring Boot Microservices

- Analyzing and designing software systems and apps. - Developing APIs. - Modeling and developing databases.

Developing a crisis detection and tracking framework from crowd-sourced reports and complaints. I developed a framework using knowledge graph.