Position: Data Scientist | Machine Learning Enginner | Deep Learning Engineer
Category: Data Science
Experience: 6 years | English: upper

Developed significant number of deep learning models for photo processing from zero (data collection and labeling) to hero (successful deployment in production, with a strong emphasis on performance optimizations).
Led the development and implementation of a GUI data annotation tool, driving a remarkable 5-fold surge in training data collection for our team. 
Implemented a comprehensive suite of debugging and visualization tools, empowering our team to gain deeper insights of nuances and issues of the training process and deep learning models.
Got rid of redundant manual actions and possible human errors by implementing an automatic stable pipeline for training->debugging->benchmarking of neural networks.
Built a monitoring system for analyzing of production performance which helped optimize the monthly cost of production services.
As a Deep Learning Engineer I have a proven track record of delivering sustainable product from data labeling and preparation stages up to performance optimizing of production models stages. With extensive experience in researching, developing, training, debugging, and performance optimizing a substantial range of image processing deep learning models, my expertise primarily lies computer vision field but I also have experience with NLP field. As a diligent practitioner, I consistently stay abreast of the latest research and developments in the field of deep learning. Periodically reviewing new studies and papers, I actively incorporate innovative approaches into my work, ensuring that I remain up to date with the most current neural network architectures. This dedication to continuous learning and integration of cutting-edge techniques positions me well for embracing new challenges and driving advancements in the realm of deep learning in a new professional setting.

Furthermore, with a strong focus on performance optimization in deep learning, I possess substantial expertise in various techniques such as mixed precision training, model quantization, ONNX/TRT integration, and TorchScript utilization. This extensive experience allows me to not only develop advanced deep learning models but also ensure their efficient and optimized execution.

Additionally, I have valuable experience as a lead/mentor, successfully guiding and supporting junior and mid-level professionals in identifying the most effective paths to attain their objectives. Whether it is assisting them in decision-making or providing guidance in various situations, I am adept at fostering growth and facilitating success within diverse team environments.
I am skilled in data preprocessing, model development, and hyperparameter optimization, troubleshooting and debugging of model training process and have experience with distributed training and deployment on google cloud platform.

My stack:
Python, C++
NumPy, SciPy, OpenCV, Pandas, Matplotlib
PyTorch, TensorFlow, ONNX, TensorRT
GCP, AWS
Docker
Looking for interesting and challenging projects in the deep learning field (projects related to generative AI are highly appreciated)