Docker, Python, MLops, Kubernetes, AWS Bedrock, MLflow, Pinecone, Azure OpenAI, LangGraph, Chroma, Vertex AI, Large Language Models, LangChain, CrewAI, Generative AI, LLMOps, Vector databases, Knowledge Graph implementations, Semantic Kernel, AutoGen, FAISS, CI CD pipelines, RAG, Azure AI, Weaviate

Data Analytics, Microservices, Test automation, Docker, Rest Apis, Python, Kubernetes, Monitoring and observability, Generative AI, cloud application development, cloud-native applications, Azure OpenAI, Azure AI Foundry, Infrastructure-as-Code, Azure AI Search

statistical concepts , probability , Tableau, Sql, Clustering, Python, Sap Business Objects, R, R-Shiny, Microstrategy, Looker, regressions

containerization , Machine Learning, Tensorflow, Nosql, Git, Nlp, Gcp, Pytorch, RDBMS, Azure, Python, Statistical Analysis, AWS, Computer Vision, Azure DevOps, Generative AI, Feature Engineering, scikit-learn, supervised learning, Large Language Models

Tensorflow, MLops, Pytorch, Spark, Data Privacy, Kubernetes, Python, LangChain, MLflow, Pinecone, AI compliance standards, OpenAI APIs, FAISS, LlamaIndex, CI CD for ML

Predictive Modelling, Python, LLMs, Location and Maps, Network Optimisation

data preparation , Text Analytics, Tensorflow, Deep Learning, Numpy, Nlp, Nltk, Pytorch, Excel, Python, Power Bi, Sql, Pandas, Spark, Databricks, knowledge graphs, pgvector, scikit-learn, vector databases, evaluation frameworks, Streamlit, RAG pipelines, responsible AI practices, SpaCy, LLMs, prompt engineering, Agentic AI, FAISS

Sql, Tensorflow, Tableau, Deep Learning, MLops, Power Bi, Pytorch, Python, Nlp, R, cloud platforms, big data tools, ML frameworks

Python Programming, Agentic AI systems, Data preprocessing, Databases and data management, Data visualization tools, AI ML algorithms, MLOps tools and frameworks, Model evaluation, Feature engineering