Deep Learning, Nlp, Spark, Sql, Python, LLMs, classical machine learning

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

Git, Data Modeling, Python, Sql, ML fundamentals, REST API design, LLM GenAI, Data quality governance

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

tokenization , SAS, Sql, Deep Learning, Hive, Spark, Machine Learning, Natural Language Processing, Python, NLP based n-grams methodology, Data Analysis, Statistical models, Fuzzy matching, R, Similarity scoring, phonetics

Machine Learning, Tensorflow, Pytorch, Flask, FastAPI, Python, LangChain, AWS Bedrock, RAG systems, Pinecone, Anthropic, Azure OpenAI, LLM fine-tuning, agent-based workflows, Milvus, ChromaDB, OpenAI, Weaviate, Cohere, LlamaIndex, Haystack

Power Bi, SAS, Qlik, Tableau, Python, Sql, R

Numpy, Pandas, Docker, Postgres, Flask, FastAPI, Python, Redis