プロフィール詳細

プロジェクトを作成

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Faiyyaz H.に依頼

India

Medical Imaging AI Engineer | Published Researcher | CT, MRI, X-Ray, DICOM | Stroke & CXR AI

プロフィール概要

I'm a Senior AI/ML Engineer at GenZ AI Labs specializing in end-to-end medical imaging AI products. I build complete healthcare AI systems — from deep learning model training (PyTorch, nnUNet, MONAI) to backend APIs (FastAPI), frontend medical viewers (React), and HIPAA-compliant AWS deployment. My work spans CT, MRI, X-Ray, and DICOM-based clinical workflows for hospitals across India. My production platforms are validated through peer-reviewed research published in 2026: - Stroke InsightZ: 4-modality brain perfusion AI platform (CT Perfusion, MRI DSC, MRI ASL, MRI Tumor Perfusion) deployed at hospitals in collaboration with Dr. D.Y. Patil Medical College, Pune. Documented in BJMHS Vol. 8(2) and IJSR Vol. 15(03). - CXR Insightz: Chest X-ray diagnostic AI detecting 15+ conditions, validated at Dr. D.Y. Patil Medical College on 170 cases. Achieved 93.53% accuracy, 100% sensitivity, AUC 0.9329, Cohen's Kappa 0.8698. Published in BJMHS Vol. 8(2), Article ID BJMHS450536. I work end-to-end — model training, clinical validation, deployment, and report generation. I deliver complete products that clinicians actually use, not just notebook prototypes. Open for medical imaging AI consulting, healthcare AI product development, DICOM pipelines, clinical validation studies, and research collaborations.

専門分野

• ★ Medical Imaging/Radiology
• ☆ Magnetic Resonance Imaging (MRI)
• ☆ Medical X-Ray

サービス

• Research
• Data & AI

Research Feasibility Study, Scientific and Technical Research

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Processing

職務経験

Senior AI/ML Engineer

GenZ AI Labs Pvt Ltd

1月 2025 - 現在

学歴

B.Tech in Artificial Intelligence and Data Science

Sharad Institute of Technology Ichalkaranji

1月 2020 - 1月 2024

認定資格

• Data Science Certification (with Distinction)

  ExcelR

  6月 2024 - 1月 2026

• Multivariate Procedures with R

  NPTEL / IIT Kanpur (SWAYAM)

  4月 2024 - 1月 2026

• Blockchain and its Applications

  NPTEL / IIT Kharagpur (SWAYAM)

  4月 2024 - 1月 2026

出版物

JOURNAL ARTICLE

Faiyyaz Hangad (2026). Integration of AI Stroke Analysis into Radiology Workflow: Real-World Experience with Stroke Insightz for MRI from Indian Perspective . International Journal of Scientific Research (IJSR).

Faiyyaz Hangad (2026). Experiences of Stroke Insightz AI for Stroke Analysis into MR Imaging Workflow: A Global Perspective . British Journal of Medical & Health Sciences (BJMHS).

Faiyyaz Hangad (2026). Validation of an AI-Based Tool for Detecting Radiographic Findings Suggestive of Tuberculosis: A Pilot Study . British Journal of Medical & Health Sciences (BJMHS).