Ibrahiem Hamed
Applied AI Research Engineer · Healthcare AI · Trustworthy AI · Intelligent Systems · Missouri City / Greater Houston, Texas
Profile
Applied AI research engineer with a background spanning systems and technical support engineering, graduate artificial intelligence study, healthcare-data research, clinical NLP, real-time intelligent systems, and governance-first ML experimentation. Interested in remote research engineering, healthcare AI, trustworthy AI, and interdisciplinary applied research.
Education
Graduate work includes automated logical reasoning and AI in healthcare, with projects using PhysioNet MIMIC-III data, machine learning, SQL, visualization, and clinical NLP.
Foundational study in computer science and software/systems concepts.
Research
Built reproducible BigQuery/Colab workflows over real MIMIC-III records. Sepsis cohort: 14,966 adult patients; mortality prediction with first-24-hour clinical features; Logistic Regression, Random Forest, and XGBoost; separate NLP studies using spaCy, scispaCy, and medspaCy.
Designed and developed a real-time experimental AI platform with market-data streaming, shadow evaluation, evidence capture, forward-outcome measurement, model/strategy identity, central risk authority, reconciliation, dead-man safety, and governance controls. Profitability remains under validation.
Experience
Manage logistics operations, routing, fleet resources, and operational coordination with a focus on efficiency and reliability.
Supported end users and business systems; maintained databases, installations, networks, backups, hardware, malware remediation, and daily IT operations.
Technical
Interests
Healthcare AI · Clinical NLP · Trustworthy and governable AI · AI safety · Real-time intelligent systems · Research software engineering · Model evaluation · Autonomous experimentation · Applied ML in regulated/high-consequence environments.
Availability
Open to fully remote applied AI research, research engineering, healthcare AI, ML engineering, and interdisciplinary collaboration opportunities in the United States.