Position: Machine Learning Engineer
Category: Python
English level: fluent
Years of experience: 5


Participated in the full development and Refactorization cycle of the fully clouded and deployed product: continues
serverless integration, test-driven development, workflow and data pipeline infrastructure, API, auto-scaling
 Implemented custom fully convolutional network architectures and loss functions using TensorFlow/Keras to detect
objects from multispectral Satellite Imagery: Forest, Bush, House, GreenHouse, Vehicle
 Established custom fully General Adversarial Networks to improve multispectral low resolution to Super Resolution
 Conducted extensive literature reviews on topics of semantic segmentation, GANs, transfer learning, and self-supervised
learning using Pytorch
 Provided Solutions the to optimize Training procedure of Segmentation of satellite imagery 5 times and gain in storage by 80%
 Interviewed over 70 candidates, and led 5 intern
 Used Technologies and Frameworks: Google Cloud, Airflow, FastApi, Tensorflow, Pytest, Docker, SQL, Kubernetes, Pytorch
I would prefer to join a team where the tasks are not repetative and doesn't envolve any challenge and growth in knowledge. Respect and skill sharing between team members are also crucial things