Profile
1-2. years

Amine MEKKI

France FlagBased in Lille, France

MACHINE LEARNING

ENGINEER

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About Me

I am a Machine Learning Engineer with experience in using data science and machine learning in healthcare, manufacturing, and meteorology. I have created ML models, set up MLOps pipelines, and used language models to automate report writing. I enjoy solving problems and am looking for a role where I can keep learning, contribute, and make a difference.
Brittany Chiang

Experience

AI ENGINEER @ GENFITGENFIT logo

December 2024 - Present

Lille, France

  • Developing and deploying a multi-object detection and tracking solution.
  • Developing and implementing a solution for classifying and detecting pathological tissues, as well as automating cell counting in microscopic images

AI ENGINEER @ SanofiSanofi logo

September 2023 - August 2024

Lyon, France

  • Contributed to the automation of quality report generation using LLMs and RAG, enhancing accuracy and reducing generation time by more than 50%.
  • Developed custom tools for data retrieval from VDB and for generating graphical representations.
  • Created an evaluation pipeline for the RAG application.
  • Tech Stack : Python, AWS S3, LangChain, LangGraph, Pinecone, Redis, RAG, Kubernetes.

MLOps Engineer - intern @ Ecole des Mines AlèsEcole des Mines Alès logo

January - March 2024

Alès, France

  • Developed and implemented an MLOps pipeline to automate end-to-end processes for model training, evaluation, and deployment.
  • Established data and model drift monitoring solutions, ensuring model stability and long-term performance.
  • Leveraged AWS services to deliver cost-effective, scalable solutions for model training and deployment.
  • Tech Stack : Python, AWS S3, AWS ECR, AWS SageMaker, AWS Lambda, API Gateway, and GitHub Actions, Docker.

Data Scientist - intern @ VaisalaVaisala logo

April - August 2023

Saclay, France

  • Analyzed data from both products to find joint applications and improve their performance.
  • Conducted in-depth market research and developed machine learning calibration methods, improving product focus and measurements.
  • Tech Stack : Python, AWS S3, Bitbucket, scikit-learn

Machine Learning Engineer - Intern @ EuroMov Digital Health in MotionEuroMov Digital Health in Motion logo

January - April 2023

Montpellier, France

  • Analyzed functional near-infrared spectroscopy (fNIRS) signals from patients undergoing transcranial direct current stimulation (tDCS).
  • Derived unique biomarkers to establish correlations between the electric dosage and fNIRS responses. Enabling dosage modulation based on patient responses, contributing to a future personalized treatment strategies for cognitive function restoration in patients with brain damage.
  • Tech Stack : Python, Github, scikit-learn, Pytorch

Stack

Python
Python
PyTorch
PyTorch
AWS
AWS
JavaScript
JavaScript
React
React
Golang
Golang
Scikit-Learn
Scikit-Learn
Docker
Docker
Kubernetes
Kubernetes
FastApi
FastApi
PostgreSQL
PostgreSQL
MongoDB
MongoDB
Redis
Redis
Apache Spark
Apache Spark
Apache Kafka
Apache Kafka
Pinecone
Pinecone
MLflow
MLflow
DVC
DVC
Hugging Face
Hugging Face
ZenML
ZenML

Projects

Healthcare Management Platform

Personal Project

Healthcare Management Platform

Developed the TBIBI APP, a scalable web platform that enhances healthcare access and delivery for patients and professionals. Built key services including a real-time messaging system using WebSocket, a symptom-based doctor search, and an AI-powered app for doctors to review patient documents and find possible diagnoses.

  • Python
  • React
  • Go
  • FastAPI
  • Docker
  • LangChain
Credit Card Fraud Detection

Personal Project

Credit Card Fraud Detection

Developed a real-time fraud detection system using FastAPI, Kafka, and Cassandra, enabling efficient transaction monitoring and fraud analysis with scalable microservices architecture.

  • Python
  • FastAPI
  • Scikit-learn
  • Kafka
  • Cassandra
  • Docker
  • React
Medical Image Captioning

Personal Project

Medical Image Captioning

Personal Project

Medical Image Captioning

Development of a chest X-ray images analysis tool using Vision Transformer and GPT-2. Improved ROUGE and CIDEr scores by 5% compared to ResNet-GPT2 approach.

  • Python
  • FastAPI
  • GPT-2
  • PyTorch
  • Vision Transformer
  • ResNet
Url Phishing Detector

Personal Project

Url Phishing Detector

Personal Project

Url Phishing Detector

Developed a machine learning solution to detect phishing URLs, involving data preprocessing, feature engineering, and model training. The project includes a React frontend and a FastAPI backend, facilitating user interactions for training and inference. The application is containerized using Docker, ensuring efficient deployment and scalability if needed.

  • Python
  • FastAPI
  • Scikit-learn
  • Docker

Education

Engineering Degree in Computer Science, AI and Data Science
IMT MINES ALES
August 2021 - August 2024
Advanced Machine Learning, Advanced Deep Learning, Data Structures and Algorithms, Software Engineering, Data Mining, Healthcare data Analytics, Product/Project Management
Master of Science, Biomedical Engineering
University of Montpellier
August 2021 - August 2024
Biomedical Signal Data Processing, Medical Image Analysis, Medical Devices, Nuclear Physics, Statistical Learning for Biomedical Data

Get In Touch

Hi There!

I’m currently looking for a Data Scientist or Machine Learning Engineer role. My inbox is always open. Whether you are interested in my profile, have a question or just want to say hi. Feel free to reach out.

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