snowflake , Sql, Tensorflow, Pandas, Pytorch, Spark, Python, Scikit-learn, MLflow, vector databases, prompt engineering, Agentic AI systems, MCP Model Context Protocol, MLOps practices, LLM-powered applications, Kubeflow, Generative AI LLM Proficiency, RAG pipelines

Servicenow, Apis, LangChain, CrewAI, Email, Hugging Face, vector databases, Azure OpenAI, AutoGen, multi-agent workflows, LLM models, GenAI Systems, Teams, Sharepoint, OpenAI

Unsupervised Learning, Spark, Databricks, Python, Deep Learning, supervised learning

data engineering , Svm, Microservices, Tensorflow, Numpy, Pytorch, Python, AWS, Scipy, Neural Nets, Pandas, Gcp, Decision Trees, Keras, Azure, model training, NLP solutions, statistical regression, Scikit-Learn, machine learning models, Data Analysis, LLMs, loss functions, deep learning models, AI agents, ensembles, accuracy measures

Tensorflow, Hadoop, Pytorch, Pandas, Spark, Python, Sql, Google Cloud, AWS, Scikit-learn

Cloud, Distributed Systems, RAG agentic retrieval, NLP representation learning, Language runtime fundamentals, AI-native engineering practice, Information retrieval ranking, Evaluation experimentation, Search infrastructure at scale

Numpy, Pytorch, Python, Tensorflow, Pandas

Keras, Aws Cloud, Deep Learning, Tensorflow, Numpy, Machine Learning, Pandas, Pytorch, Python, Nlp, AWS Bedrock, LlamaIndex, Scikit-learn, LangChain, Generative AI