English:
Upper Intermediate
Italy
UTC +01:00
Europe/Rome
Experienced Data Scientist and Computer Vision Expert
• I developed CNN models for anomaly detection and OpenCV algorithms for precise defect identification, enhancing industrial operational efficiency. • Led AutoML initiatives using FFNN models for predictive analytics in pump and compressor properties, integrating C# for scalable production deployment. • Implemented Flask APIs and MLOps pipelines on GCP, optimizing the ML lifecycle from experimentation to deployment. • Expanded R&D capabilities, transforming ideas into successful MVPs, and advancing industrial AI applications.
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Check if Oleksandr is availableExpertise
Years of commercial development experience
6 years of experience
Core technologies
Other technologies
Project Highlights
Under NDA
Sep `21 - Jun `24
3 years
Under NDA
The product is one of the largest industrial companies focused on building materials. They are leaders in delivering product excellence, exceptional customer experiences, and market innovation. The main goal is to improve the product and development process through R&D, innovation, supply chain enhancement, and social impact efforts.
Responsibilities & achievements
• Performed machine learning (ML) experiments. • Investigated optimization of ML models for IoT devices using TFLite. • Worked with Google Cloud Platform (GCP). • Developed ML models, including CNN, LSTM, Autoencoders, and DNN. • Created computer vision algorithms using OpenCV, Pillow, and Plotly. • Developed Flask APIs for application integration. • Created automated ML pipelines. • Conducted debugging and performed ML tests. • Reviewed code for quality assurance.
Under NDA
Jul `18 - Mar `21
3 years
Under NDA
The company is a global R&D engineering firm specializing in the development of efficient turbomachinery components and systems. They provide an integrated and automated software platform called AxSTREAM® for all stages of the turbomachinery design, redesign, analysis, and optimization process. This includes complete 3D design, thermodynamic cycles, rotor dynamics, and secondary flow and cooling system simulation. The company also offers various engineering services and educational courses, accessible both online and in a classroom-style setting.
Responsibilities & achievements
• Developed AutoML for a regression algorithm to build Feedforward Neural Network (FFNN) models for pump and compressor characteristics using Python and C#. • Utilized Python libraries, including Keras, TensorFlow, pandas, and visualization tools. • Investigated optimization problems related to pumps and compressors using Python. • Collaborated on customer projects involving reinforcement learning and classification problems using Python and C#.
Education
Higher education in Computer Science
Agency
400+
GMT-11
Remote
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