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Dr.-Ing. Ragaad Altarawneh

Performance Visualization Architect | Senior AI Systems Scientist

Fremont, CA | ragaad@sedrah.ai | (971) 770-8525

Professional Summary

Senior Systems Architect and Data Storyteller with 10+ years of experience transforming complex AI distributed system performance data into actionable visual insights. Expert in high-performance visualization platforms for large-scale GPU/CPU clusters, distributed ML workloads, and software-hardware interfaces. Proven track record at Intel Labs architecting visual data systems that improved workload efficiency by 10x.

Core Expertise

  • Data Storytelling & Visualization: Interactive dashboards, high-dimensional data mapping, visual analytics for deep learning.
  • Specialized Data Visualization: Interactive visual support, high-dimensional mapping, perception-based UI/UX.
  • Performance Engineering: CPU utilization profiling, distributed bottleneck analysis, low-latency inference optimization.
  • Full-Stack Development: Python, C++, SQL, Bash, Docker, Kafka, AWS.
  • System Architecture: Cloud-scale server frameworks, automated analytics pipelines, API gateway design.

Professional Experience

Sedrah AI Solutions | Founder & CEO

2024 - Present

  • Architected a voice-to-verse multimodal exploration engine with custom visual interfaces for semantic audio search patterns.
  • Built interactive R&D pipelines for multimodal AI agents, translating high-dimensional profiling data into intuitive dashboards.

Intel Labs | Systems Research Scientist / Architect

2017 - 2024

  • Led design of VDMS, a distributed visual data management system, producing optimization strategies with 10x efficiency gains.
  • Collaborated with Stanford and CMU on Scanner and SAF, building automated pipelines for cloud-scale performance visualization.
  • Engineered UI/UX frameworks for monitoring multimodal AI pipelines and identifying real-time inference bottlenecks.
  • Published 30+ peer-reviewed papers and translated complex numeric performance data into decision-ready narratives.

San Francisco State University | Lecturer & Research Supervisor

2017 - 2024

  • Developed and taught advanced curricula in Data Visualization and AI Ethics for technical and interdisciplinary audiences.
  • Directed graduate theses on LLM integration and ML analytics with visualization standards for large model systems.

Mutah University | Assistant Professor

2015 - 2021

  • Taught Computer Graphics and AI with emphasis on visual storytelling of software-hardware performance behavior.

Selected Technical Projects

  • Scanner (Intel Labs + Stanford): Large-scale video analytics framework focused on high-throughput processing and visual performance tracking.
  • SAF (Intel Labs + CMU): Edge-cloud streaming system focused on visualizing low-latency inference bottlenecks in distributed environments.

Education

  • Ph.D. in Computer Engineering | RPTU Kaiserslautern-Landau, Germany. Thesis: Interactive Visual Support for Understanding Embedded Systems.
  • M.S. in Computer Science | Jordan University.
  • B.S. in Computer Science | Mutah University.