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mariem khlifi

@mariemkhlifi

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I build AI-powered platforms, real-time data pipelines, and end-to-end MLOps systems.

Portugal

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What I'm looking for

I'm looking to build practical AI, data engineering, and MLOps products, from real-time pipelines and machine learning models to deployed LLM applications.

I'm building AI-powered healthcare platforms at Alenia Consulting Portugal, including a five-agent pipeline for real-time consultation assistance, medical data capture, and post-visit reports. I also developed live video consultations, voice transcription, WebSocket notifications, patient records, OCR document analysis, and RAG-powered document search.

Previously, I built an automated MLOps platform and Kafka, Spark, and Airflow pipeline for LTE network QoS monitoring at Orange Tunisia. My work spans machine learning, forecasting, anomaly detection, NLP, data engineering, and full-stack delivery with Python, FastAPI, React, Django, and big-data tooling.

Experience

Work history, roles, and key accomplishments

Current

AI & Data Engineer

Current

Alenia Consulting Portugal

Apr 2026 - Present (5 months)

Built a full-stack AI-powered healthcare platform with a 5-agent pipeline handling real-time consultation assistance, automated medical data capture, and post-visit report generation. Developed live video consultations using WebRTC, real-time voice transcription, and instant push notifications via WebSockets.

Python fastAPI React GPT 4o Gemini 2.5 Flash LLaMA GROQ WebRTC WebSockets OCR RAG LLM Multi Agent Systems

Freelance Digital & IT Consultant

IMBT Consulting

Jan 2025 - Dec 2025 (11 months)

Assisted with website-related and technical tasks, created short-form social media content and digital visual assets, and wrote marketing copy and promotional content. Designed professional presentations, pitch decks, and business proposals.

Digital Marketing Content Creation Social Media Presentation Design business proposal development

MLOps and Big Data Engineer

Orange Tunisia

Jan 2025 - Jul 2025 (6 months)

Implemented an automated MLOps platform for detection, analysis, and processing of network QoS. Developed and orchestrated a real-time data pipeline using Apache Kafka, Spark, and Airflow for LTE network monitoring, and deployed forecasting and anomaly detection models within a Django platform integrated with Elasticsearch.

MLOps Kafka Apache Spark Airflow Django Elasticsearch Forecasting Anomaly Detection LTE QoS

Data Science and Actuarial Intern

MAE, Mutual Insurance for Education

Jul 2024 - Aug 2024 (1 month)

Developed predictive models (GLM, Decision Trees) to forecast claim costs and improve accuracy through data aggregation and cleaning. Created visualizations and refined strategies to support decision-making.

GLM Decision Trees Data Cleaning Data Aggregation Visualization Actuarial Science

Data Science Intern

CloudMaster

Jul 2023 - Sep 2023 (2 months)

Preprocessed four data sets using Python and created an interactive dashboard on Power BI. Used supervised and unsupervised ML models to analyze the data.

Python Power BI data preprocessing Supervised Learning Unsupervised Learning