Nlp, MLops, Python, Sql, Machine Learning frameworks, Generative AI, Hugging Face Transformers, embedding models, Llm

Docker, Information Retrieval, Testing, Git, Kubernetes, RAG systems, vector databases, knowledge retrieval systems, Autogen, development frameworks, Advanced Python programming, NLP techniques, RAG pipelines, agent alignment, semantic search, LangChain, Crew.ai, embedding models, Anthropic, safety considerations, prompt engineering, LLM optimization techniques, async programming, OpenAI

Express, PostgreSQL, Node.js, JIRA, Sql, Nosql, Git, Typescript, Javascript, Selenium, MongoDB, Playwright, Claude Code, Rest-Assured, Cypress

Databases, API design, Distributed Systems, Python, LangChain, CrewAI, LLMs, AutoGen, backend architecture, Evaluation, guardrails, LLM orchestration, LlamaIndex

Java, Data Transformation, Sql, ELT, Data Quality, Spark, Databricks, Data Integration, Big Data, Python, Etl, Airflow, RAG vector databases, distributed processing tools, knowledge graph concepts, data lakes, governance concepts, semantic search, metadata

snowflake , Pyspark, AWS Glue, Rdf, Neo4j, Python, BigQuery, Apache Spark, Sql, Databricks, Airflow, GraphDB, pgvector, Great Expectations, Pinecone, Flink, Cypher, Chroma, DataBrew, owl, Stardog, Dagster, dbt, Milvus, Weaviate, Apache Jena

RAG, Python programming language, AWS AI ML services ecosystem, FAST APIs, Machine Learning architectures

text classification , MLops, Python, AWS, multi-agent systems, cloud-based AI deployments, Llm, RAG, AI frameworks, retrieval systems, embeddings, Evaluation, model fine-tuning, Optimization, semantic search, NLP systems, ML and NLP models, reinforcement learning