Machine Learning, Tensorflow, Pytorch, Docker, Python, AWS, Java, Natural Language Processing, Scala, Deep Learning, MLops, Gcp, Azure, Kubernetes, Computer Vision, Hugging Face, Go, Pinecone, Retrieval-Augmented Generation, Vector Databases, Large Language Models, Generative AI, FAISS, Transformers

Node.js, Typescript, Python, multi-step reasoning, code transformation, Benchmarking, code editing, prompt engineering, error recovery, model evaluation, agentic AI systems, LLM APIs, code generation, production deployments

New Relic, Grafana, Logging, Azure Machine Learning, Terraform, Azure DevOps, Github, Datadog, Azure Functions, Prometheus, Kubernetes, Docker, release engineering frameworks, Application Insights, AKS, Azure Monitor, Bicep, Azure OpenAI, OpenTelemetry, Azure Container Apps, AI workloads, CI CD pipelines, Azure Container Registry, GitHub Actions, cloud-native deployment platforms, tracing, Log Analytics, infrastructure automation, observability, PromptFlow, Azure AI Studio

Apis, Microservices, Tensorflow, Nlp, Pytorch, MLops, Docker, Kubernetes, Python, AWS, LLM-based systems, Hugging Face, vector databases, RAG architectures

Ml, C++, Hadoop, Spark, Python, R

Docker, MLops, Etl, AWS, Python, Kubernetes, Azure, Gcp, Nlp, LLMs, Transformers, feature store, vector DBs, embeddings, data pipelines, RAG, prompt engineering

Data Lake, Tensorflow, Azure Machine Learning, Machine Learning, MLops, Azure Databricks, Pytorch, Python, Kubernetes, Azure Synapse, Docker, Azure DevOps, MLflow, Microsoft Fabric, Azure AI Foundry, Cognitive Services, Scikit-learn, LLMOps, Azure OpenAI, Azure AI

Java, Distributed Systems, Spring Boot, LangChain, LangGraph, Vector Databases, DeepEval, AI evaluation frameworks, event-driven architectures, RAG pipelines, API ecosystems

Gcp, Artificial Intelligence, Azure, Machine Learning, Llm