prophet , Machine Learning, Tensorflow, Pytorch, XGBoost, Python, Sql, Deep Learning, Git, Kubernetes, scikit-learn, Temporal Convolutional Networks, Random Forests, GRU, Integrated Gradients, Gradient Boosting, data visualization tools, Time Series Models, LSTM, SHAP, LightGBM, Statistical models, counterfactuals, statsmodels, permutation importance, transformer-based models

Machine Learning, Google Cloud Platform, Pyspark, Neural Networks, Python, Deep Learning, Big Data Platforms, Data Text Mining

Deep neural network models (CNN, Machine learning techniques (regression, Transformers), classification), Tensorflow, Pytorch, Python, Sql, Clustering, Rnn, NLP models and conversational AI solutions, Classical statistical modeling

Text Analytics, Machine Learning, Microservices, Tensorflow, Nltk, Nlp, MLops, Pytorch, Gcp, Docker, Rest Apis, Azure, Kubernetes, Python, AWS, LLMs, cloud-native applications, Hugging Face, spaCy, RAG, NER, information extraction

Machine Learning, Sql, MLops, Python, Statistical Analysis, Semantic Layers, Embeddings, LLM APIs, RAG, Agent Orchestration Frameworks, Feature Engineering, Deployment, Inference, Monitoring

Graphql, Tensorflow, Pytorch, Neo4j, Python, PQ, vector databases, HNSW, Llama variants, parameter-efficient fine-tuning, Phi, Nemotron, Mistral, FAISS, LoRA, IVF, Knowledge Graphs, QLoRA

Hadoop, Natural Language Processing, Google Cloud, Sql, Computer Vision, Spark, Python, AWS, ML evaluation techniques, GANs, fine-tuning, Transformers, LLMs, perceptual quality metrics, multimodal learning, deep learning architectures, prompt engineering, generative tasks, R, user-in-the-loop testing, diffusion models