Artificial Intelligence (AI), Data Science, Machine Learning, Numpy, Pandas, Matlab, R

PostgreSQL, Rdf, Neo4j, Python, AWS, Apis, Gcp, MLops, Azure, pgvector, LLM-driven applications, vector databases, Pinecone, GenAIOps, LangGraph, Chroma, GenAI microservices, RAG pipelines, architecture standards, LangChain, knowledge-grounding frameworks, cloud platforms, benchmark model performance, prompt engineering, knowledge graph systems, Transformers, Milvus, Weaviate, LlamaIndex

Tableau, Sql, Excel, Decision Trees, Hadoop, Pyspark, Machine Learning, Hive, Python, XGBoost, Data Handling, feature engineering, GenAI, Modeling, Powerpoint, Regression

Java, Sql, Numpy, Pandas, Pytorch, Javascript, Docker, Keras, Python, Langchain, scikit-learn, OpenAI API, RAG