Pytorch, Machine Learning Algorithms, inference optimizations, MLOps practices, quantization techniques, SGLang, vLLM

Tensorflow, Pytorch, Gcp, MLops, Azure, Python, AWS, data preprocessing, model evaluation, feature engineering

bedrock , Pytorch, Python, orchestration frameworks, LangChain, prompt tuning, vector search, fine-tuning, LLMs, RAG systems, high-availability inference systems, semantic embeddings, SGLang, vLLM, cloud environments, Evaluation, agentic workflows, AWS SageMaker, ML tooling ecosystem, scalable ML architecture, LlamaIndex

data preparation , text classification , tokenization , Machine Learning, Sentiment Analysis, Nlp, Summarization, MLops, LLM-powered Applications, Feature Engineering, Feature Extraction, MLflow, Entity Recognition, Retrieval-Augmented Generation, Embedding Generation, Model Deployment, Model Versioning, Large Language Models, Text Preprocessing, information extraction, AI Orchestration Frameworks, Generative AI, Transformer-based Models, Conversational AI, Prompt Engineering

Natural Language Processing, Tensorflow, Computer Vision, Pytorch, XGBoost, Python, scikit-learn, tabular machine learning, LightGBM, time-series forecasting, recommendation systems, ranking systems

Tensorflow, Pytorch, Scikit-Learn

Machine Learning, MLops, ML pipelines, Experiment tracking, Model versioning, Hyperparameter tuning

Tensorflow, Sql, AWS, Pytorch, Kubernetes, Python, Azure, Gcp, LLMs, Airflow, MLflow, data engineering concepts, Scikit-learn, Hugging Face, vector databases, Weaviate, LangChain, transformer models, Pinecone, OpenAI API, LangGraph