Python development, Containerization and Kubernetes environments, CI CD pipelines and version control workflows, Model serving or inference runtime concepts, Vector database usage and embedding pipelines, RAG concepts including embedding and retrieval, Monitoring logging and tracing fundamentals

Data Architecture, Node.js, Python, API services, caching strategy, Go, LLM application development, Pinecone, Monitoring, Chroma, vector database integration, AI coding tools, prompt workflows, RAG pipelines, Deployment, Weaviate, model inference flow

Java, Golang, Sentiment Analysis, Genesys, Python, emotion detection, LLMs, Anthropic, Salesforce Service Cloud, knowledge bases, FAQ systems, zendesk, multi-channel support automation, OpenAI, intent classification

containerization , Pyspark, Sql, Nlp, MLops, Databricks, Azure, Python, agentic AI frameworks, Transformers, RAG classification, vector databases, prompt engineering, Llm, evaluation frameworks, model optimization

Sql, Tensorflow, Git, Pytorch, Gcp, Docker, Opencv, Azure, Python, AWS, LangChain, CrewAI, PEFT, multi-agent frameworks, MLflow, prompt engineering, AutoGen, LangGraph, LoRA, Kubeflow, RAG, Big Data architectures

Sql, Tensorflow, Git, Pytorch, Gcp, Docker, Opencv, Azure, Python, AWS, LangChain, CrewAI, AI orchestration tools, MLflow, AutoGen, LangGraph, Kubeflow, Big Data architectures, MLOps frameworks

graph databases , Kafka, Spring Boot, Sonarqube, AWS, Java, Mq, Fortify, Redis, Oracle Db, Gcp, MLops, MongoDB, Azure, Kubernetes, enterprise software engineering, platform engineering, large-scale distributed systems, model lifecycle management, AI ML engineering, AI deployment pipelines, microservices architectures, CI CD pipelines, model monitoring frameworks

Java, Spring Boot, Sql, Nosql, Tensorflow, Numpy, Git, Pandas, Pytorch, Gcp, MLops, Docker, Azure, Kubernetes, Python, AWS, scikit-learn, AI ML Expertise, Agentic AI, Microservices Architecture