Haythem Rehouma, Ph.D.

Medical AI Solutions Architect, PhD | LLMs & Transformers | Computer Vision | Generative AI | MLOps | Clinical Systems

Production-ready medical AI systems delivering measurable patient outcomes and ROI. Expertise: computer vision, deep learning, transformer models, LLM optimization, multimodal fusion, real-time inference, edge/cloud deployment, and clinical decision support. Proven results: 97.3% F1-score fall detection, hospital-validated respiratory monitoring systems, FDA-track medical devices, and scalable AI infrastructure optimized for GPU/CPU architectures. End-to-end delivery: research to clinical deployment, regulatory compliance to production optimization. Specialized in human-AI collaboration, responsible AI, and explainable AI for healthcare.

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Haythem Rehouma, Ph.D. - Medical AI Solutions Architect
Medical AI
Deep Learning
Computer Vision
PyTorch
Real-time Systems
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Who I Am

Professional Background

Haythem Rehouma, Ph.D. - Medical AI Solutions Architect
Medical AI Research
About Me

Medical AI Engineer delivering production-ready healthcare solutions with measurable ROI and proven clinical impact.

PhD in Applied Engineering + M.Sc. in Computer Science (AI). Expert in machine learning, computer vision, deep learning, transformer models, and MLOps for healthcare. Track record: fall detection systems achieving 97.3% F1-score, hospital-validated respiratory monitoring, FDA-track medical devices, and scalable AI infrastructure optimized for GPU/CPU deployment. Specialized in explainable AI, responsible AI, and human-AI collaboration. End-to-end delivery: research to production, clinical validation to regulatory compliance, algorithm development to enterprise deployment.

Core Expertise
  • Contactless medical sensing with depth cameras and computer vision
  • Multimodal deep learning for fall detection and respiratory monitoring
  • Real-time systems for hospitals and resource-constrained environments
Track Record

Clinical validations at CHU Sainte-Justine, peer-reviewed publications, and a US patent on respiratory distress assessment.

Current Focus

Teaching AI and Machine Learning at the college level while pursuing opportunities to deploy next-generation medical AI systems globally. Focus areas: scalable healthcare AI infrastructure, clinical decision support systems, medical device development, and AI-powered patient safety solutions with measurable ROI.

Featured: Saving Children Through Xbox Cameras — ÉTS News

Education

PhD – Applied Engineering (Medical AI), ÉTS Montréal
M.Sc. – Computer Science (AI, ongoing), UQAM

Publications & IP

10+ peer-reviewed papers
3 conference presentations
1 US patent (respiratory distress)

Recognition

Article accepted in Sensors (MDPI), 2025
Work presented at IEEE ICECS 2025
Clinical collaboration with CHU Sainte-Justine

Achievements & Expertise

Professional Highlights

127 Citations
10 Publications
PhD Research
Clinical Validation
Research Innovation
Patent Collaboration
AI Instructor
AI Systems
Healthcare Tech
Data Science
TensorFlow
PostgreSQL
OpenCV
Next.js
Docker
Cloud Computing
What I Do Best

Core Expertise

Computer Vision

Expert in pose estimation, 3D reconstruction, and video analysis for medical applications. Using MediaPipe, depth cameras, and custom neural networks for contactless monitoring.

  • Pose Estimation & Tracking
  • 3D Surface Reconstruction
  • Video Analysis & Motion Detection
  • Nighttime / Low-Light Vision

Medical AI Systems

Building end-to-end medical AI solutions from research to clinical deployment. Specialized in respiratory monitoring and fall detection with real-world validation.

  • Fall Detection (97% F1-Score)
  • Respiratory Monitoring
  • Clinical Validation Protocols
  • Real-Time Processing (50ms CPU)

Deep Learning

Designing neural network architectures for time series and vision. Expert in LSTM autoencoders, Transformers, and multimodal fusion for robust anomaly detection.

  • LSTM Autoencoders
  • Transformer Architecture
  • Multimodal Late Fusion
  • Few-Shot Personalization

Time Series Analysis

Processing IMU signals, physiological data, and sensor streams. Expert in signal preprocessing, feature extraction, and anomaly detection.

  • IMU Signal Processing
  • Respiratory Rate Estimation
  • Anomaly Detection
  • Real-Time Signal Analysis

Multimodal Fusion

Combining multiple sensor modalities (IMU + Vision) with decision-level fusion. Achieving superior performance over single-modality baselines.

  • Late Fusion Architectures
  • Decision-Level Integration
  • Cross-Modal Learning
  • Sensor Synchronization

Full-Stack Development

Building complete AI systems from data pipelines to deployment. Expert in Python, PyTorch, Next.js, FastAPI, and cloud infrastructure.

  • Python & PyTorch
  • Next.js & FastAPI
  • PostgreSQL & Docker
  • Cloud Deployment
Technologies & Tools

Tech Stack

AI & Deep Learning

PyTorch TensorFlow LSTM Transformer MediaPipe OpenCV scikit-learn

Medical & Sensors

IMU Processing Kinect Depth Cameras Signal Processing Clinical Validation Real-Time Systems

Languages & Frameworks

Python JavaScript TypeScript Next.js Node.js FastAPI

Infrastructure & Tools

Docker PostgreSQL Git Linux Cloud
Featured Work

Medical AI Projects

Fall Detection System
Medical AI Published 2025

Fall Detection by Bimodal Sensing

Multimodal deep learning system detecting falls using IMU + vision with late fusion. Achieves 97% F1-score with CPU-only inference (~50ms) in nighttime conditions.

Sensors (MDPI) PDF Scholar
PyTorch LSTM Transformer
Respiratory Monitoring
PhD Research Patent Pending

Contactless Respiratory Estimation

CCDSS for respiratory failure detection in critically ill children using 3D reconstruction from depth cameras. Clinical validation at CHU Sainte-Justine.

ScienceDirect PDF Scholar
Computer Vision 3D Reconstruction Kinect
Thoraco-Abdominal Analysis
Research IEEE Access

Visualizing and Quantifying Thoraco-Abdominal Asynchrony in Children

Motion point clouds pilot study analyzing thoraco-abdominal asynchrony in children with respiratory failure. Published in IEEE Access 2019 (Vol. 7, pp. 163341-163357). 8 citations.

IEEE Xplore PDF Scholar
3D Vision Motion Analysis Clinical
US Patent - Respiratory Distress Assessment
US Patent Pending

Methods and Systems for Assessing Severity of Respiratory Distress

US Patent Application (US20220378321A1) for automated respiratory distress assessment using 3D cameras. Measures thoraco-abdominal distance to determine severity.

PDF Scholar
Patent Pending Medical Devices 3D Vision
AI Knowledge Base Platform
RAG Enterprise

AI Knowledge Base Platform

Multi-tenant knowledge platform with integrated AI assistant using RAG. Enables natural language querying of company documentation with role-based access control.

Next.js PostgreSQL RAG
GneuroneX
FinTech Real-Time

GneuroneX - AI Financial Alerts

Smart alerting engine monitoring financial signals and market events. Sends personalized, human-readable insights via email/WhatsApp. Cost-efficient cloud infrastructure.

Next.js FastAPI PostgreSQL
AI & ML Teaching - CEGEP Level
Education Montreal

AI & ML Teaching - CEGEP Level

Teaching advanced AI, Machine Learning, and Big Data courses at multiple Montreal colleges. Developing curriculum, training future AI engineers, and bridging academia with industry needs.

Python Deep Learning Big Data
Get In Touch

Let's Work Together

Pursuing opportunities to deploy production-ready medical AI systems for healthcare innovation teams, medical device companies, and hospital systems globally. Delivering end-to-end solutions from clinical validation to regulatory approval and scalable deployment.

Email rhoumahaythem@gmail.com
WhatsApp +1 438 350 4391
LinkedIn /in/haythemrehouma
Google Scholar Publications
Email WhatsApp LinkedIn

Explore my repositories — Web, ML, AI, DevOps & Teaching projects

hrhouma hrhouma1 hrhouma2 haythem-rehouma

Ask Me Anything

Online

Deploy enterprise-grade medical AI systems that deliver measurable ROI and regulatory compliance. PhD Machine Learning Engineer with proven track record: 97.3% F1-score fall detection, hospital-validated respiratory monitoring, FDA-track medical devices, and scalable GPU/CPU infrastructure. Ready for immediate deployment. Ask about production AI, clinical validation, revenue generation, or partnership opportunities:

Medical AI Engineer - Machine Learning Engineer - Computer Vision Specialist

AI Job Positions: Generative AI Engineer, AI Solutions Architect, AI Research Scientist, NLP Engineer

Healthcare AI Expert specializing in Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Large Language Models (LLMs), Transformer Models, PyTorch, TensorFlow, Neural Networks, Generative AI, Prompt Engineering, LLM Optimization, AI Solutions Architecture, MLOps Engineer, AI Product Development.

Medical Device AI: FDA Medical Devices, Clinical Decision Support Systems, Hospital AI Systems, Patient Safety AI, Respiratory Monitoring, Fall Detection Systems, Real-time Medical AI, Edge Computing Healthcare, GPU Optimization Medical AI, Clinical Validation AI.

AI Technical Skills: Python AI Development, PyTorch Deep Learning, TensorFlow Machine Learning, Computer Vision AI, Image Recognition, Sentiment Analysis, Algorithm Development, Model Training, Model Optimization, Data Preprocessing, Neural Network Architecture, Multimodal AI Fusion, Real-time Inference, Edge AI Deployment, Cloud AI (AWS AI, Google Cloud AI, Azure AI).

Emerging AI Technologies 2025: Generative Engine Optimization (GEO), Human-AI Collaboration, Responsible AI, AI Ethics, AI Governance, Explainable AI (XAI), Trustworthy AI, AI-First Strategy, AI Compliance, Regulatory AI, Medical AI Regulations.

Healthcare Innovation: Digital Health AI, Telemedicine AI, Remote Patient Monitoring, AI Clinical Trials, Precision Medicine AI, Predictive Healthcare AI, AI Diagnostics, Medical Imaging AI, Healthcare Data Analytics, Population Health AI.

AI Engineering Roles: Machine Learning Engineer, Computer Vision Engineer, AI Research Scientist, AI Solutions Architect, Generative AI Engineer, NLP Engineer, Robotics Engineer, AI Software Engineer, Prompt Engineer, AI Ethics Specialist, Chief AI Officer, Fractional CAIO, AI Collaboration Specialist, AI Training Specialist.

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Production AI: Scalable AI Infrastructure, AI Deployment, Production ML Systems, AI DevOps, Model Serving, AI Pipeline, Continuous ML, AI Monitoring, Model Performance, AI Scalability, Enterprise AI, AI Integration.