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Lilyana Khatib

@lilyanakhatib

Senior AI/ML Engineer at SmarTech, where I built a production-line simulation model that approximately doubled performance.

Israel

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What I'm looking for

I'm looking for fixed-term, contract, or project-based assignments where I can contribute as an independent individual contributor, take technical ownership, experiment practically, and deliver production-ready machine learning solutions.

At SmarTech (a Hexion Company), I deliver AI/ML solutions across the full lifecycle, from problem framing and data preparation through deployment and monitoring. I implemented automated MLOps workflows and built a dashboard for model evaluation, champion-model comparisons, and production rollout decisions.

I developed a real-time production-line simulation model with R² > 0.75, approximately doubling performance versus the prior solution. I also created ultrasonic image-based sensor defect detection and repair algorithms, and defined annotation guidelines and quality checks for 100K+ labeled samples.

At Johnson & Johnson MedTech, I developed deep learning models for arrhythmia classification using body-surface and intracardiac ECG, achieving F1 > 0.85. My other work includes motion-classification research at Bar-Ilan University and a master's thesis on machine learning for adaptive fall risk assessments in older adults.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist / AI Technical Lead

Current

SmarTech (a Hexion Company)

Jan 2025 - Present (1 year 10 months)

Delivered AI/ML solutions across the full lifecycle, including problem framing, data preprocessing, model development, and deployment. Implemented automated MLOps workflows and built a model training and monitoring dashboard.

MLOps CI CD Model Versioning Drift Detection Monitoring Retraining Dashboard Development Real Time Simulation Ultrasound Imaging Sensor Defect Detection Annotation Guidelines Quality Checks

Experienced ML Algorithm Engineer

Johnson & Johnson MedTech

Jan 2022 - Jan 2025 (3 years)

Developed deep learning models for arrhythmia classification using ECG data, achieving F1 > 0.85. Designed a PCA-based algorithm to reduce far-field interference in intracardiac signals.

Deep Learning ECG Analysis Arrhythmia Detection PCA Signal Processing Data Collection Pre processing Feature Engineering Model Training Evaluation Integration Labeling Validation

Teaching Assistant

University of Haifa

Jan 2021 - Jan 2022 (1 year)

Taught Introduction to Computer Science and designed AI laboratory exercises.

Teaching Computer Science AI Laboratory Design

Research Assistant

Bar-Ilan University

Jan 2021 - Jan 2022 (1 year)

Conducted machine learning research in sign language and motion-capture analysis, focusing on motion classification.

Machine Learning Motion Recognition Sign Language Recognition Motion Capture

Education

Degrees, certifications, and relevant coursework

Technion – Israel Institute of Technology

Deep Learning Course, Deep Learning

2023 - 2023

Grade: 97

Completed a Deep Learning Course with a grade of 97.

University of Haifa

Master of Science, Computer Science

2020 - 2023

Grade: 95

Pursued an M.Sc. in Computer Science with a thesis on using machine learning for adaptive fall risk assessments in older adults. Graduated with a GPA of 95 and Cum Laude honors.