Proficient in developing and implementing machine learning algorithms for various tasks, including classification, regression, clustering, and anomaly detection. Skilled in feature engineering, model selection, hyperparameter tuning, and model evaluation. Experienced in working with popular frameworks such as TensorFlow, PyTorch, and scikit-learn.

Knowledgeable in applying techniques and models for natural language processing (NLP) tasks, including text classification, sentiment analysis, named entity recognition, and machine translation. Proficient in working with language models such as BERT, GPT, and transformer architectures. Skilled in leveraging pre-trained models and fine-tuning them for specific tasks.

Experienced in self-supervised learning techniques, which enable training models without the need for labeled data. Proficient in developing and implementing methods such as contrastive learning, generative models, and autoencoders to learn useful representations from unlabeled data.

Well-versed in reinforcement learning algorithms and methodologies, including Markov decision processes, Q-learning, policy gradients, and deep reinforcement learning. Skilled in designing and implementing reward structures, exploration-exploitation strategies, and training agents to solve complex tasks.

Proficient in computer vision tasks such as object detection, image segmentation, image classification, and image generation. Experienced in using convolutional neural networks (CNNs) with deep learning frameworks like TensorFlow and PyTorch as well as using MATLAB for image processing and analysis. Skilled in computer graphics techniques for rendering, visualization, and 3D modeling with libraries such as OpenGL.

Knowledgeable in applying game theory concepts to model and analyse strategic interactions. Skilled in developing algorithms and simulations for game theory problems, including game equilibrium, auction mechanisms, and multi-agent systems. Proficient in applying game theory principles to decision-making and optimization problems in various domains.