Python, Agentic AI systems, RAG Retrieval-Augmented Generation, LLM integration, ML DL model development, HTTP REST APIs, LLM-based applications, prompt engineering

Machine Learning, Sql, Tensorflow, Pytorch, Neo4j, Databricks, Python, AWS, Power Bi, Tableau, T5, Ai, MLflow, CLIP, Whisper, BERT, LLaVA, Hugging Face

Java, Hibernate, Kafka, Spring Boot, Css3, Sql, Microservices, Nosql, Jenkins, Typescript, Docker, Terraform, Html5, Reactjs, Sonarqube, Jpa, Kubernetes, AWS, AI engineering tools, Observability tools

Maven, Apigee, Grafana, Datadog, Jenkins, Git, Gradle, Docker, Terraform, Dynatrace, Azure, Kubernetes, AWS, Infrastructure as Code, Instana, Azure OpenAI, GitHub Actions, Azure AI Cognitive Services, Fluentd

vectorization , Tensorflow, Pytorch, Python, CrewAI, data preprocessing, Generative AI, Hugging Face Transformers, AI agent development, vector databases, Pinecone, LangGraph, AutoGen, FAISS, Evals, Weaviate

Apis, Node.js, Microservices, Python, Devops, DevSecOps, Agile, cloud-native systems, Infrastructure as Code, event-driven architectures, CI CD pipelines, automated testing frameworks, AI governance, evaluation and testing methodologies, observability and monitoring frameworks, security and compliance principles, Operational Risk Management