Beschreibung

After having made expertise in the field of computer vision, video analysis, deep learning, and mechanical engineering within Paris Saclay. I want to build my skills on this by applying all my technical knowledge and by exchanging it with professionals.

Sprachen

Französisch
Konversationssicher
Englisch
Verhandlungssicher
Persisch
Muttersprachlich oder zweisprachig

Arbeitsortpräferenzen

Vor Ort möglich

Toulouse (bis zu 50 km), Paris (bis zu 10 km), Lyon (bis zu 20 km)

OMIA
computer vision and deep learning engineer
Februar 2022 - Heute (4 Jahre und 3 Monate)
Angoulême, Frankreich
Development of a RAG platform, integrating the ChatGPT API for
business document analysis:
Development of a real-time question-answering solution for large
business documents using RAG and ChatGPT API.
Prompt engineering to refine interactions with GPT models.
Using React for the frontend and FastAPI for the backend, with a
scalable and high-performance architecture, hosted on GCP.
Continuous technological monitoring to integrate the latest
advances in AI and NLP and apply them to professional projects.
Collaboration with both technical and non-technical teams to
facilitate AI solution adoption through workshops and
educational sessions.
Developed a complete end-to-end solution for car damage
detection, including building three models: Plate Detection, Damage
Detection, and Car Parts Detection (segmentation).
Trained and optimized AI models using CUDA, TensorRT, and ONNX,
deploying them on cloud platforms like GCP and Scaleway.
Built the entire web application using Django, HTML, JavaScript,
Docker, and SQL/PostgreSQL to provide a seamless interface for car
damage detection.
Handled every stage of the project, from model development and
optimization to the full-stack implementation of the web app.
Python Pytorch CUDA OpenCV Google cloud
Projet EUGENE, ISAE-Supméca,
Chercheur Doctorant
FORSCHUNG
Februar 2018 - September 2021 (3 Jahre und 7 Monate)
93400 Saint-Ouen, France
- Object detection with RCNN and YOLO to detect the perfume bottle.
- Develop a Graphical User Interface (GUI) with Python and MATLAB to automatically reduce the movement of liquid inside the moving container.
- Develop an image processing algorithm to detect the movement of liquid in different shapes of containers.
- Sloshing (liquid movement) in perfume bottles was reduced by 45% using real-time video analysis and a genetic algorithm.
- Sloshing simulation inside the container by presenting a mathematical formulation of fluid dynamics.
- Development of an image processing algorithm with Python and MATLAB to detect in real time the movement of liquid in different shapes of containers.
Python Matlab OpenCV Pytorch
INSA
Stage Ingénieur
LUFT- & RAUMFAHRT
März 2017 - September 2017 (6 Monate)
United States
- Forecast the best forecasting method for business aircraft spare parts demand.
- Running five different classifier prediction methods.

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Doctorat Sciences Mécaniques
Université Paris Saclay,
2021
Doctorat Sciences Mécaniques
Master 2 en Ingénierie Mécanique
Arts et Métiers ParisTech,
2017
Master 2 en Ingénierie Mécanique