National Oilwell Varco (NOV Inc.) · Houston, TX

• Leading development of an AI-powered computer vision system for Current Transformer (CT) verification using dual-camera architecture, OCR, and classical ML classifiers — achieving 100% accuracy with no GPU required.
• Architected and deployed a Retrieval-Augmented Generation (RAG) Sales Order Chatbot integrating AWS Bedrock LLMs, Athena SQL generation, and Kendra knowledge retrieval.
• Built MaintGPT, an AI maintenance assistant combining LLM reasoning, audio diagnostics (YAMNet), speech-to-text (Whisper), and vector similarity search for industrial troubleshooting.
• Automated SQL generation with LLMs, cutting manual query handling time by 80% and improving structured query accuracy by 40%.

Dept. of Imaging Physics, MD Anderson Cancer Center · Houston, TX

• Developed SwarmDeepSurv, integrating swarm intelligence with deep survival networks for prognostic radiomics signatures across four solid cancers (Patterns, Cell Press).
• Designed ML models for subgroup identification and treatment effect estimation in NSCLC patients receiving immunotherapy (Nature Communications, 2025).
• Integrated multi-modal datasets (radiology, pathology, genomics, EHR) for personalized cancer treatment predictions using SHAP/LIME-based explainability.
• Contributed to NIH grant proposals on AI-driven biomarker discovery and mentored graduate researchers.

Dept. of Imaging Physics, MD Anderson Cancer Center · Houston, TX

• Developed computational approaches for cancer diagnosis, treatment, and prevention using AI.
• Applied swarm intelligence and deep learning for imaging biomarker discovery and survival prediction.
• Assisted with NIH and NSF proposal development.

Universiti Teknologi PETRONAS · Malaysia

• Led AI research for oil & gas applications, including predictive analytics on pipeline weldment radiography.
• Developed AI-driven defect detection and classification for radiographic imaging.

Center for Research in Data Science (CeRDaS), UTP · Malaysia

• Researched multi-objective metaheuristic optimization for feature selection in classification problems.
• Developed hybrid swarm intelligence algorithms (Grey Wolf Optimizer, Particle Swarm Optimization) for high-dimensional data.
• Published 10+ peer-reviewed papers during doctoral studies.

Albaydha University · Yemen

• Taught Introduction to CS, C++, Java, Software Requirements, and Networking.
• Supervised final year projects and served as course coordinator.