
RANIA BOUGUESRI
Machine Learning Engineer | Computer Vision
Salaire / Taux journalier
Paris, France
Freelance, ouvert au CDI
Expertises
Langues
À propos
Introduction
Machine Learning Engineer with 3+ years specializing in AI deployment, Computer Vision, and edge computing. Led award-winning retail analytics projects and implemented production-ready fraud detection systems for insurance. Expert in MLOps, AWS, and model optimization with proven track record in automotive, healthcare, and retail industries.
Expérience de travail
Machine Learning Engineer
Stellantis
avr. 2024 - oct. 2024
7 mois
78300 Poissy, France
Evaluation and Monitoring AI and LLM in production Deploiement on AWS GreenGrass Edge platform
Machine Learning Engineer
Namla
oct. 2022 - juil. 2023
10 mois
91400 Orsay, France
▪ Building AI solutions for Computer Vision and Time series forecasting use cases. ▪ Optimizing and deploying models in edge devices. ▪ Reviewing and integrating innovative techniques from the literature. Edge Computing, Machine Learning ,Computer Vision, Inference and model Serving . Main Projects : - Handled a Retail use case to count people in a supermarket and analyzing their gender and age demographics: Object detection, OpenCV, OpenVino , Model Optimization( quantization and pruning), Ffmprg, MQTT, React Native, Docker **This project helped the startup to be awarded the Best Startup in Abudhabi AI Connect 2022 Event. -Implemented a Predictive Maintenance Use case For Oil & Gaz company Sonatrach: Built a model that can predict remaining useful life for a machine : LSTM, Keras, TensorFlow, Time series data, OpenVINO, Model Compression , Docker... -Integrated an Urban Growth Detection Model with satellite images, in partnership with ASAL (Algerian Space Agency): Segmentation model, VGG16, pytorch, ... - Participated in TII Infrared Tracking Challenge for autonomous vehicles: Finetunning YOLOv8, Tracking with ocsort and reidentification with Mask R-CNN ... - Mentored interns working on an Annomaly detection in Retail project and a Federated Learning and data privacy theory project.
Machine Learning Consultant
Memifriends
mars 2023 - mai 2023
3 mois
Amsterdam, Pays-Bas
Develop a ChatBot that can negotiate with children and convince them to share an item like a balloon: NLP, ParlAI, finetuning, Negotiation task, flask app.
NLP Research Intern
CERIST
oct. 2021 - oct. 2022
1 an 1 mois
Alger, Algérie
Sarcasm detection in tweets using deep learning . Demonstrated the effectiveness of using neural networks with different Word Embeddings for identifying sarcastic texts accurately. Comparing the results with two finetuned transformer-based models, and testing a new Data augmentation approach. Impact on business: Improving the sentiment analysis systems' precision when retrieving data to understand users' social media activities. Derive added value in IS management and provide targeted advertising strategies.
Formation
Ecole nationale Superieure d'Informatique (ESI)
Engineer's degree
Université Sorbonne Paris Nord
Master 2