Large Language Models (LLMs), Neural network architectures, On-premises infrastructure, Deep learning frameworks, Scalable AI pipelines, Cloud AI services, Generative AI models

Tensorflow, Nlp, Pytorch, Docker, Flask, Python, Predictive Modelling, Apis, Azure ML, Computer Vision, FastAPI, scikit-learn, pgvector, MLflow, Claude, Pinecone, Mistral, Kubeflow, Vertex AI, RAG architectures, LangChain, LLMs, cloud platforms, Anthropic, SageMaker, FAISS, Llama, OpenAI, Weaviate, LlamaIndex

Machine Learning, Api Development, Logging, Sql, Deep Learning, MLops, Docker, Python, Kubernetes, Generative AI, MLflow, Monitoring, CI CD pipelines, Azure Cloud Stack, model drift detection, observability

Spark, Time Series Analysis, LLM RAG, Anomaly pattern detection, Automation Intelligence, Log Parsing, RCA activities

Python, Tensorflow, Machine Learning, Pytorch, Linux, Flask, FastAPI, Cuda, Data Science Frameworks, NVIDIA computer vision SDKs, GPU technologies

Machine Learning Life Cycle (MLLC), Sql, JIRA, Api Testing, Git, Gcp, Selenium, Azure, Python, AWS, Great Expectations, MLflow, Model Validation Testing