Elk, Prometheus, Bash, Grafana, Gcp, Docker, Azure, Kubernetes, Python, AWS, Triton Inference Server, TensorRT, MLflow, DVC, GPU scheduling

Python, AI ML testing, CI CD pipelines, MLOps best practices, Automated testing in DevOps environments, Large-scale distributed AI systems

AWS EKS, FastAPI, Kubernetes, Python, Celery, Sqlalchemy, Airflow, Claude API, confidence calibration techniques, Pydantic, LLM output validation frameworks, embedding models, Weaviate, pgvector, Pinecone, semantic search, RAG context

data engineering , Ml, FastAPI, Kubernetes, Python, AWS EKS, Nlp, Celery, Sqlalchemy, confidence calibration techniques, Airflow, Claude API, vector database, Ai, Pydantic, LLM output validation frameworks, embedding models, Weaviate, pgvector, semantic search, data ingestion pipelines, Pinecone, LLM evaluation frameworks, prompt engineering

Pytorch, Tensorflow, Grafana, Kafka, Terraform, AWS, Prometheus, Kubernetes, Python, Azure, Docker, Jenkins, GitLab CI, Argo CD, cloud platforms, Microservices architecture, Data pipelines, ML frameworks, DevOps practices, AI ML workflows, CI CD tools, Machine Learning lifecycle, MLOps tools, Kubeflow, MLflow, Scikit-learn, SageMaker