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I am Meriem Kilani, an AI/ML Engineer focused on delivering practical, real-world impact through Python-based ML and AI solutions. I work across the full project lifecycle—from data preprocessing and feature engineering to model development, evaluation, deployment, and API integration. I enjoy turning complex data into actionable insights that enhance clinician trust and user experience. I thrive in remote, cross-functional teams, translating business needs into reliable ML-driven solutions, and building production-grade systems on AWS and Azure. I value clear communication, rigorous experimentation, and reproducible pipelines that scale.…I am Meriem Kilani, an AI/ML Engineer focused on delivering practical, real-world impact through Python-based ML and AI solutions. I work across the full project lifecycle—from data preprocessing and feature engineering to model development, evaluation, deployment, and API integration. I enjoy turning complex data into actionable insights that enhance clinician trust and user experience. I thrive in remote, cross-functional teams, translating business needs into reliable ML-driven solutions, and building production-grade systems on AWS and Azure. I value clear communication, rigorous experimentation, and reproducible pipelines that scale.

Meriem Kilani

Web Developer, Programmer, Developer, +2

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I am Meriem Kilani, an AI/ML Engineer focused on delivering practical, real-world impact through Python-based ML and AI solutions. I work across the full project lifecycle—from data preprocessing and feature engineering to model development, evaluation, deployment, and API integration. I enjoy turning complex data into actionable insights that enhance clinician trust and user experience. I thrive in remote, cross-functional teams, translating business needs into reliable ML-driven solutions, and building production-grade systems on AWS and Azure. I value clear communication, rigorous experimentation, and reproducible pipelines that scale.…I am Meriem Kilani, an AI/ML Engineer focused on delivering practical, real-world impact through Python-based ML and AI solutions. I work across the full project lifecycle—from data preprocessing and feature engineering to model development, evaluation, deployment, and API integration. I enjoy turning complex data into actionable insights that enhance clinician trust and user experience. I thrive in remote, cross-functional teams, translating business needs into reliable ML-driven solutions, and building production-grade systems on AWS and Azure. I value clear communication, rigorous experimentation, and reproducible pipelines that scale.

Available to hire

I am Meriem Kilani, an AI/ML Engineer focused on delivering practical, real-world impact through Python-based ML and AI solutions. I work across the full project lifecycle—from data preprocessing and feature engineering to model development, evaluation, deployment, and API integration. I enjoy turning complex data into actionable insights that enhance clinician trust and user experience.

I thrive in remote, cross-functional teams, translating business needs into reliable ML-driven solutions, and building production-grade systems on AWS and Azure. I value clear communication, rigorous experimentation, and reproducible pipelines that scale.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

French

Advanced

Work Experience

ML Research Intern - Medical AI at Mitacs Globalink Research Program, Canada

September 1, 2025 - October 15, 2025

Developed and evaluated ML and Quantum ML models for explainable autism diagnosis, enhancing clinicians’ trust in model predictions with 80% accuracy and 93% recall. Built reproducible end-to-end ML pipelines including data preprocessing, feature engineering, model evaluation, and interpretation. Conducted experiments and ablation studies to validate model performance and robustness.

ML and Software Engineering Intern at Sofrecom

September 1, 2024 - October 15, 2025

Engineered and deployed a crypto-wallet Chrome extension with ML-powered voice authentication, ensuring secure user access and 87%+ authentication accuracy. Integrated Angular, NestJS, and Flask with backend APIs, ML models, and object storage for robust system design. Collaborated with cross-functional teams to translate business requirements into reliable ML-driven solutions.

MLOps Intern at Next Generation IT

September 1, 2023 - October 15, 2025

Automated end-to-end medical ML pipelines for a medical application, using Apache Airflow, reducing processing time by 40% and improving reproducibility. Collected, cleaned, and integrated DICOM raw data including x-ray images for ML model training and deployment. Conducted experiments and tests to validate models and ensure production-grade reliability.