Julien Hurault
Verified Expert in Engineering
Data Scientist and Developer
Geneva, Switzerland
Toptal member since October 14, 2021
Julien is a data scientist with six years of experience. I have worked across different industries, including automotive, pharma, logistic, banking, and aviation, for prestigious companies such as BMW, Johnson&Johnson, or Novartis. He combines software engineering skills like data engineering, ML, and DevOps with high business acumen, which allows him to quickly understand his customers' needs and deliver scalable productive solutions.
Portfolio
Experience
- Machine Learning - 6 years
- Python - 6 years
- Python 3 - 6 years
- Amazon Web Services (AWS) - 5 years
- Deep Learning - 4 years
- Docker - 2 years
- Computer Vision - 2 years
- DevOps - 2 years
Availability
Preferred Environment
Python 3, Deep Learning, Amazon Web Services (AWS), Docker, Natural Language Processing (NLP), Generative Pre-trained Transformers (GPT), Computer Vision, Analytics, Data Science, Machine Learning Operations (MLOps), DevOps
The most amazing...
...project I have developed is hardware and software for a real-time defect detection system deployed on an industrial production line.
Work Experience
Founder | CTO
Axom
- Led a team of three engineers with a mix of skills in deep learning and computer vision, industrial programming, web application, and hardware.
- Developed industrial visual inspection systems based on deep learning for industrial production lines with high-quality standards within pharma, medical device, and watch industries.
- Defined the complete development workflow: CI/CD, MLOps, containerization, coding standard, and documentation. I provided technical guidance and coding support when needed in various areas such as PyTorch, web application, C++.
Data Scientist
Swiss Post
- Did machine learning for customer scoring, for large customer datasets.
- Worked on data mining and data visualization for process optimization for large parcel tracking event datasets.
- Did machine learning for predictive maintenance, for large machine log datasets.
Data Analyst
BMW
- Analyzed and optimized the production system such as lead time and inventory disposal reduction, thanks to production data visualization (SQL) and predictive simulation discrete event simulation (DES).
- Developed and implemented a decision support tool to calculate and compare the production costs between several investment scenarios.
- Interacted with various stakeholders in production, controlling, and strategy.
Experience
Industrial Computer Vision System
Automatic Text Classification
Education
Master's Degree in Engineering
TU Munich - Munich, Germany
Master's Degree in Engineering
Ecole Centrale Lyon - Lyon France
Skills
Libraries/APIs
Pandas, PyTorch, SciPy, Scikit-learn, SpaCy, D3.js, PySpark
Tools
Named-entity Recognition (NER), Plotly, DataViz, Amazon Athena, Docker Hub, Git, Docker Compose
Languages
Python 3, SQL, Python, Scala
Paradigms
DevOps, Agent-based Modeling
Platforms
Amazon Web Services (AWS), Docker, AWS Lambda, AWS Elastic Beanstalk, Amazon EC2
Frameworks
Spark
Storage
Databases, Apache Hive, Amazon S3 (AWS S3)
Other
Analytics, Data Science, Machine Learning Operations (MLOps), Engineering, Machine Learning, Convolutional Neural Networks (CNNs), Deep Learning, Natural Language Processing (NLP), Computer Vision, Generative Pre-trained Transformers (GPT), Simulation Engines, Process Simulation, Big Data, Data Engineering, System Architecture, Text Categorization, Artificial Intelligence (AI), Data Analysis, Data Visualization, Big Data Architecture, DevOps Engineer, Machine Vision, Algorithms, Neural Networks, Manufacturing, Control Systems
How to Work with Toptal
Toptal matches you directly with global industry experts from our network in hours—not weeks or months.
Share your needs
Choose your talent
Start your risk-free talent trial
Top talent is in high demand.
Start hiring