Tensorflow, Machine Learning, Pytorch, Python, Sql, Api Development, Data Preprocessing, Model Deployment, NLP Techniques, Transformers

Mapreduce, Tensorflow, Numpy, Pytorch, Docker, XGBoost, AWS, Hadoop, Sql, Pig, Pandas, Hive, Gcp, Spark, Python Programming, Azure, Kubernetes, scikit-learn, Hugging Face Transformers, LLM prompt engineering, vector embeddings, RAG pipelines, semantic search, OpenAI API, knowledge retrieval

Grafana, Pytorch, Prometheus, Cuda, Kubernetes, Python, Docker, Azure ML, Hugging Face Transformers, Llm, MLflow, SageMaker, DeepSpeed, GCP AI Platform, LangChain, FAISS

Azure, Tensorflow, AWS, Distributed Systems, Pytorch, Python, Kubernetes, Docker, Gcp, fine-tuning LLMs, model optimization, deployment strategies, vector databases, embeddings, Weaviate, Hugging Face Transformers, Pinecone, FAISS, prompt engineering

Python, Tensorflow, Nlp, Pytorch, Machine Learning, Sql, Data Analysis

data preprocessing and augmentation methods, natural language processing techniques, programming languages commonly used in machine learning workflows, model fine-tuning processes, domain adaptation strategies

Tensorflow, Linux, Rest Apis, Pytorch, Git, FastAPI, Python, Kubernetes, Docker, Generative AI, vLLM, Prompt Engineering, Llama, Fine-Tuning LLMs, LangChain, Pinecone, Embeddings, DeepSeek, CI CD pipelines, Mistral, Ollama, LangGraph, Milvus, ChromaDB, Scikit-learn, Retrieval-Augmented Generation RAG, Hugging Face Transformers, Vector Databases, Qwen, FAISS

Distributed Computing, Pytorch, Docker, Python, Cuda, MLops, Kubernetes, Hugging Face Transformers, model parallelism, speculative decoding, SGLang, inference runtimes, GPU memory management, performance benchmarking, quantization, continuous batching, KV-cache optimization, TensorRT-LLM, LLMOps, vLLM, LLM GenAI model inference optimization, NCCL, Transformer architectures, GPU computing