Position: Senior / Lead Machine Learning Engineer / CV / AI
Category: Python
English level: fluent
Years of experience: 11

AWS Certified Machine Learning – Specialty
Microsoft Certified Solution Developer  (6 exams, 4 certificates)
Completed courses:
• Machine Learning, Stanford University
• Deeplearning.ai courses
  - Sequence Models
  - Convolutional Neural Networks
  - Structuring Machine Learning Projects
  - Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
  - Neural Networks and Deep Learning
Experienced, dedicated and very reliable Senior Software Engineer with more than 10 years of  successful commercial Software development. 

I have more than 5 years of experience in Computer Vision, Image processing, Machine learning and Neural networks which includes designing, implementing, validating, and optimizing an AI based solutions using Python, TensorFlow, C# and Onnx.

I hold a Master in Computer Science and Applied Mathematics and have strong mathematical and algorithmic background.

During last 5,5 years I lived and worked in the Netherlands and have been responsible for:
• Research and leading development of a brand new artificial intelligence powered computer vision system for detection and precise localization of objects in fast moving through medicine detection machines pouch tapes filled with pills.
• Identification of bottlenecks and optimization of software for customers with large clusters of packing and inspection machines. Created a realistic virtual environment to simulate heavy loads, that allowed testing systems for the future expected load.
• Design, training process and evaluation of deep convolutional models.
• Initiated process of improvement of the optical setup to achieve better image quality of fast moving objects.
• Design and implementation of an optimized domain-specific labeling toolset to prepare training datasets for a Machine Learning project and a complex generator of realistic synthetic training sets, including a video stream generator.
• Initiated several machine learning projects for anomaly detection, fraud prediction, word embedding, and implementation of a recommender system.

In addition to my main responsibilities everywhere I worked, I provided mentorship and training to less experienced colleagues. I enjoy helping others to advance their knowledge and careers.
Currently I am interested in development of complex Machine Learning, Deep Learning and Computer Vision solutions.