Leon Coert
Verified Expert in Engineering
Machine Learning Developer
Leon is a machine learning expert with industry experience creating classification systems and predictive solutions for business applications. He is well-versed in developing complex solutions and possesses strong creative thinking skills. His determination to explore unknown domains in depth makes him an exceptional engineer. Leon's excellent communication and prior experience working on a variety of projects in the artificial intelligence domain help clients achieve their goals.
Portfolio
Experience
Availability
Preferred Environment
Jupyter Notebook, Visual Studio Code (VS Code), Git, Ubuntu
The most amazing...
...project I've implemented was an NLP classification system that reduced operational costs by 80% and helped the company to expand its business internationally.
Work Experience
Senior AI Engineer
Toptal
- Architected and deployed a real-time anomaly detection system for financial transactions, reducing false positive alerts by 80% and improving the efficiency of incident response.
- Optimized the training pipeline by implementing distributed computing techniques, reducing model training time by 50% and enabling faster experimentation and iteration.
- Collaborated with cross-functional teams to integrate machine learning models into production systems, resulting in a 25% increase in operational efficiency and cost savings.
Artificial Intelligence Engineer
Self-employed
- Solved actual business problems in various domains by utilizing cutting-edge NLP technology like BERT, fastText, PyTorch, spacy, Hugging Face, etc.
- Ensured that APIs and models were performant and robust in a production environment. Docker, Kubernetes, and cloud technologies were used to ensure scalability and reproductivity in the production environment.
- Contributed to applications ranging from sentence classification and sentiment analysis to fraud detection in financial transaction data.
- Built and deployed a highly scalable ML pipeline to categorize financial transaction data in real-time.
Machine Learning Engineer
Self-employed
- Created and deployed deep learning classification service using PyTorch, scikit-learn, Kibana, PCA, Python, NumPy, and pandas.
- Developed machine learning deployment, testing, and monitoring solution.
- Developed a high performance debugging architecture for the manual rule-based model in an object-oriented manner.
Software Engineer
Self-employed
- Worked in an agile environment to design and develop robust scraping solutions to meet customers' requirements for functionality, scalability, and performance.
- Modified existing scraping interfaces to fix bugs and upgrade interfaces.
- Incorporated new features and improved runtime performance.
- Implemented new front-end features and back-end processes.
Experience
Smartfactory IoT
Safe Autonomous Driving
Crypto Trading Bot
Education
Bachelor of Technology Degree in Computer Science
THM University of Applied Sciences - Germany
Skills
Languages
Python, SQL, JavaScript, Java, PHP
Libraries/APIs
Scikit-learn, PyTorch, Pandas, NumPy, XGBoost, Flask-RESTful
Tools
Git, Kibana, Jira, Apache Airflow, AWS CLI
Paradigms
Agile
Platforms
Ubuntu, Visual Studio Code (VS Code), Jupyter Notebook, Docker, Kubernetes, Google Cloud Platform (GCP)
Other
Natural Language Processing (NLP), Machine Learning, Web Scraping, Processing & Threading, Natural Language Understanding (NLU), GPT, Generative Pre-trained Transformers (GPT), Convolutional Neural Networks (CNN), Artificial Intelligence (AI), Image Recognition, Computer Vision, Principal Component Analysis (PCA), Reinforcement Learning, Vertex
Frameworks
Flask, Hadoop
Storage
MySQL, MongoDB, Elasticsearch
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