data engineering , Data Warehousing, Kafka, Docker, Python, AWS, Apache Spark, Sql, Software Engineering, Gcp, Rest Apis, Azure, Kubernetes, RAG frameworks, Qdrant, vector databases, MLflow, Pinecone, Kubeflow, Cloud MLOps, ETL pipelines, LangChain, Generative AI, LLMs, Clean code practices, prompt engineering, LLM fine-tuning, microservices architecture, Milvus, LlamaIndex

Sql, Data Science, Python, embeddings, knowledge engineering, enterprise ontologies, big data infrastructure, vector databases, semantic models, semantic retrieval, GenAI systems, enterprise knowledge grounding, RAG pipelines, semantic data systems, applied AI

MLops, AWS, Terraform, Python, Agentic AI, LLMs

Tensorflow, Nlp, Computer Vision, MLops, Pytorch, Azure, Python, AWS, LangChain, Generative AI, LLMs, Crew AI, Hugging Face, Pinecone, AutoGen, LangGraph, Agentic AI, FAISS, time series forecasting

Pyspark, Tensorflow, Numpy, Nlp, Pytorch, Docker, XGBoost, Python, AWS, Scipy, Clustering, Sql, Git, Hive, Pandas, Gcp, Keras, Azure, Computer Vision, Random Forests, MLflow, Gradient Boosting, GLMs, R, Kubeflow, Vertex AI, EconML, BERT, LightGBM, Scikit-learn, DoWhy, SageMaker

Machine Learning, Tensorflow, Nlp, Pytorch, Predictive Analytics, Azure, Python, Computer Vision, AWS, LangChain, Generative AI, LLMs, Crew AI, Hugging Face, Pinecone, AutoGen, LangGraph, Time Series Forecasting, FAISS, Statistical Modeling, Cloud-native AI solutions

Machine Learning, Nlp, Hive, Hadoop, Pyspark, Advanced Sql, Python, Deep Learning, Generative AI

Machine Learning, Natural Language Processing, SAS, Sql, Deep Learning, Pandas, Hive, Numpy, Spark, Python, Generative AI, R