Hafsa Eddigue
Deep Learning Engineer
MATLAB
Python
SQL
Active 4 days ago
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Overview
Technical skills
Timeline
Roles
Overview
Computer Vision and AI engineer with experience developing and evaluating deep learning models for image-related tasks. Skilled in building and validating data preprocessing pipelines and in analyzing model performance with reproducible R&D-style experimentation. Also has experience with data automation and AI model evaluation workflows using Python.
Technical skills
MATLAB
Python
SQL
AI/ML
CUDA Toolkit
NLP
CNN
Computer Vision
CUDA
Fine-tuning
ResNet
Transformers
Timeline
AI Trainer - Python & AI Model Evaluation
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Middle
DataAnnotation Platform
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Full-Time
Trained and evaluated AI models using Python-based tooling. Assessed model outputs and quality through evaluation of model performance. Supported iterative improvements by refining prompts, datasets, or evaluation logic used during testing.
Python
Data Analyst - Automation & Reporting
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Middle
Etamoprim
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Full-Time
Automated reporting and analytical workflows to support business and data tracking needs. Used programming and data processing tools to improve reliability and efficiency of recurring reports. Produced insights based on processed datasets and summarized results for stakeholders.
Research Engineer - Machine Learning & Signal Processing
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Middle
TIMC Lab (CNRS)
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Full-Time
Developed machine learning approaches for signal processing problems in a research lab environment. Supported experiments and model evaluation using reproducible workflows. Contributed to analysis of model behavior and performance for applied R&D use cases.
R&D Engineer - Deep Learning & Data Processing
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Middle
TDK InvenSense
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Full-Time
Worked on deep learning and data processing tasks in an R&D context. Contributed to the development and evaluation of AI models and their data pipelines. Focused on reproducible experimentation and performance analysis throughout the modeling workflow.