Languages Python, R, C++/C

AI frameworks / libraries

PyTorch, TensorFlow, Keras, Matlab, scikit-learn, scipy, Pandas, OpenCV, spaCy, Natural Language Toolkit, Intel MKL, Eigen, Nvidia CUDA programming, Torchtune, Hugging Face Transformers, Langchain, LlamaIndex

Deep Learning & Computer Vision

Object recognition, detection and segmentation, Novel view synthesis, generative adversarial networks, 3D Pose Estimation, augmented reality, face recognitionData engineering and MLOps Dataset management, Apache Spark, AWS Sagemaker, MLFlow, Weights & biases, AWS Glue, DataBrew, Elasticsearch, Amazon Athena, Apache Kafka Streams, ML-testing

Classical ML

Classification, regression, time-series analyses, recommender systems, fraud detection, prices optimization, etc. Reinforcement Learning Games theory, Games solving, Contextual bandits, Counterfactual Regret Minimization

NLP

Topic modeling, text/intent categorization, and LLMs: Expertise in Retrieval-Augmented Generation, experience in fine-tuning LLMs, and implementing LLM-based solutions in production (Paysera, Nova Poshta, Kyivstar, Headway).