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

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

snowflake , Apache Spark, Sql, Tensorflow, MLops, XGBoost, Keras, Python, scikit-learn, generative AI, AWS cloud services, SparkML, Azure OpenAI, Llm, Relational Databases

Nlp, LangChain, GPU optimization, Airflow, DeepSpeed, Triton Inference Server, speech models, distributed training, multimodal transformer models, MLflow, real-time video processing, Ray, Vector DBs, Horovod, Cv, RAG, KServe

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

Data Science, Machine Learning, RDS, Power Bi, Artificial Intelligence, Pyspark, Redshift, Python, AWS

Pyspark, Machine Learning, Data Mining, Excel, Python, Sql, AWS, R, Rspark, Statistical Pattern Recognition