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

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, Machine Learning, Predictive Maintenance

Reactjs, FastAPI, Python, multi-agent frameworks, LLMs, AI Agents

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