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

Apis, Python, Gen AI, LLMs, RAG, Prompt Engineering

RAG (Retrieval-Augmented Generation), S3, Lambda, MLops, ECS, Python, GenAI, versioning, LLMOps, vector databases, EKS, Llm, prompt engineering, SageMaker, Agentic AI, CI/CD pipelines, Amazon Bedrock, Governance, model monitoring

Java, Node.js, Sql, Angular, Full Stack development, Git, React, Docker, Rest Apis, Python, Generative AI, NoSQL databases, cloud platforms, Ai, CI CD

Java, Machine Learning, Neural Networks, Pattern Recognition, Python

Natural Language Processing, Neural Networks, Deep Learning, Pattern Recognition, Python, 3D Geometry, Multimodal Models, CAD, Computer Graphics, Rendering Pipelines, Text Encoders, Mesh Processing

Artificial Intelligence, Sql, Tensorflow, Pytorch, MLops, Spark, Databricks, Azure, Python, AWS, Generative AI, LLMOps, Agentic AI systems, Microsoft Fabric

Python, Generative AI, Agentic AI frameworks, LLMs, Software engineering principles

data engineering , Data Analytics, Tensorflow, Numpy, Pytorch, Docker, Microsoft Azure, Excel, Python, AWS, Sql, Git, Pandas, Gcp, Databricks, FastAPI, Rest Apis, Prompt engineering, scikit-learn, MLflow, CI CD, Embeddings, R, LLM APIs, polars, AI ML frameworks, Generative AI, Vector databases, Evaluation methods, Retrieval-augmented generation, Agentic workflow concepts