Andrei Dore
Verified Expert in Engineering
Machine Learning Developer
Bucharest, Romania
Toptal member since May 25, 2020
Andrei is a machine learning engineer with over six years of experience. His projects have included computer vision, natural language processing, time series forecasting, classification, and regression. Andrei has deployed machine learning models on AWS cloud and developed REST services for machine learning models.
Portfolio
Experience
- Java - 20 years
- Python 3 - 7 years
- Machine Learning - 6 years
- TensorFlow - 5 years
- NumPy - 5 years
- Keras - 5 years
- Amazon SageMaker - 3 years
Preferred Environment
Amazon Web Services (AWS), Git, MySQL, Spring, Java, Amazon SageMaker, Matplotlib, Scikit-learn, Pandas, NumPy, Keras, TensorFlow, Python, Jupyter Notebook, PyTorch, JSTransformers, Object Detection, Convolutional Neural Networks (CNNs), Data Science, Web Scraping, MariaDB, Machine Learning Automation, Amazon Machine Learning, AI Programming, Amazon EC2, APIs, Optical Character Recognition (OCR), Deep Learning, Computer Vision Algorithms, Open Neural Network Exchange (ONNX)
The most amazing...
...machine learning project I've led was building the computer vision and deep learning navigation for an autonomous ATV that moves packages in an auto warehouse.
Work Experience
AWS ML Engineer
Route Konnect Limited
- Developed Sagemaker pipelines to run traffic solutions.
- Used AWS Lambda and AWS Dynamo to control the pipelines.
- Created the environment to manage the Sagemaker pipelines.
PyTorch & SageMaker Developer
WuXi AppTec - Main
- Developed the Sagemaker pipelines to process chemical interactions.
- Created a Python web monitoring for Sagemaker pipelines.
- Trained models and created inference endpoints using the Chemprop library.
Machine Learning Engineer
Q-Team Solutions
- Developed a media (image and video ) similarity search engine using Python, Keras, SageMaker, Docker, Lambda, and AWS kNN.
- Built machine learning models to identify football and baseball players in images and videos using Python, Keras, and SageMaker.
- Developed REST Services for machine learning models using Python, Lambda, and SageMaker.
Machine Learning Enginier
DCDN Research & Development
- Developed machine learning to identify copyright infringement in media (images, videos, and text).
- Built a media similarity search engine using Python, TensorFlow, and SageMaker.
- Developed machine learning models to identify minors (children) in images and videos.
- Built an image recommendation system for a website.
Senior Software Developer
Sety Robotics
- Led the team in charge of the design and development of the computer vision and deep learning navigation (behavioral cloning, image classification, and terrain segmentation) for an ATV that moves packages in an auto warehouse.
- Designed and built a 2D digitizer used in textile industries.
- Designed and developed an IoT portal for sensors (iot.robofun.ro).
- Led the software team that implemented business process automation for www.robofun.ro.
- Designed and built an IoT solution that monitors 1,000 sensors in the warehouse.
- Built an RFID tracking solution in the auto warehouse.
- Developed software that transforms text into drawing commands for CNC machines.
Experience
Greenfly – Content Collaboration Application
https://www.greenfly.com/Certifications
AWS Certified Machine Learning – Specialty
Amazon Web Services
AWS Certified Cloud Practitioner
Amazon Web Services
Natural Language Processing in TensorFlow
Coursera
Convolutional Neural Networks in TensorFlow
Coursera
Getting Started with AWS Machine Learning
Coursera
Machine Learning: Classification
Coursera
Fundamentals of Reinforcement Learning
Coursera
Skills
Libraries/APIs
Keras, TensorFlow, NumPy, OpenCV, Deeplearning4j, Matplotlib, Pandas, Scikit-learn, PyTorch, AWS Amplify
Tools
Amazon SageMaker, Git, Subversion (SVN), Open Neural Network Exchange (ONNX)
Languages
Python 3, Java, Python, SQL, C, C++
Platforms
Amazon Web Services (AWS), AWS Lambda, Jupyter Notebook, JBoss, Amazon EC2
Frameworks
Spring
Storage
MySQL, Amazon S3 (AWS S3), MariaDB
Paradigms
REST
Other
Computer Vision, Data Science, Artificial Intelligence (AI), Deep Neural Networks (DNNs), Neural Networks, Web Scraping, Machine Learning, Deep Learning, Image Recognition, Classification Algorithms, Classification, Random Forests, Random Forest Regression, Clustering, Regression, Convolutional Neural Networks (CNNs), Image Processing, Reinforcement Learning, Deep Reinforcement Learning, Object Detection, Recommendation Systems, Image Search, Machine Learning Operations (MLOps), Amazon Machine Learning, AI Programming, APIs, Optical Character Recognition (OCR), Computer Vision Algorithms, Tesseract, Natural Language Processing (NLP), Enterprise Java Beans (EJB), Robot Operating System (ROS), YOLOv5, JSTransformers, Generative Pre-trained Transformers (GPT), Machine Learning Automation, Data Engineering
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