Summary
Albert Atlasov is an NLP developer and computer vision specialist with 11 years of experience building research-driven ML systems across academia and industry. He blends hands-on model development (PyTorch, TensorFlow, MONAI, Caffe) with production optimization—profiling and accelerating training pipelines up to 3x and deploying optimized models with OpenVINO. His work spans medical 3D imaging, AR, stereo and stabilization pipelines, and NLP/text-to-speech at Yandex, demonstrating fluency from low-level C++ prototypes to high-level Python research code. He has a track record of turning literature into practice—implementing specialized losses and measurement algorithms that materially improved ROC-AUC metrics in clinical tasks. Equally comfortable in research and engineering, he prefers a 50/50 split between novel algorithmic work and product-ready software. Trained in Informatics (Freie Universität Berlin) and with deep experience handling DICOM/NIfTI and real-world device constraints, he thrives on applied problems where accuracy and efficiency both matter.
11 years of coding experience
7 years of employment as a software developer
Master's degree, Informatics, Master's degree, Informatics at Freie Universität Berlin
Bachelor's degree, Information Technology, Bachelor's degree, Information Technology at Kazan State University