Python, LLM evaluation methodology, model-selection judgement, experimental rigour, prompt and context engineering, LLM and vision-model APIs

React, Tensorflow, Typescript, Numpy, Pandas, Pytorch, Node.js, Python, Kubernetes, Graphql, Docker, REST, LlamaIndex, OpenSearch, Scikit-learn, Next.js, Weaviate, AutoGen, LangChain, pgvector, CrewAI, Pinecone, Transformers

Node.js, Docker, Microsoft Azure, Restful Apis, Python, DevOps practices, AI services, Azure Open AI

data engineering , Machine Learning, Apis, ELT, Nlp, MLops, Predictive Analytics, Data Governance, Computer Vision, Etl, Generative AI, Data Lakes, Ai, Workflow Automation, Vector Databases, Large Language Models

Java, Nlp, Python, vector search, knowledge engineering, LLMs, RAG systems, Indexing, citation, context assembly, permission control, full-text search, recall, chunking, reranking, ML systems, filtering, document storage

Pandas, MLops, Terraform, Siem, Kubernetes, LangChain, LLM agents, scikit-learn, LLMOps, SOAR, IaC, AutoGen, SageMaker, EDR, Vertex AI, AI agents, RAG multi-agent systems

React, Typescript, Javascript, Docker, Terraform, Python, AWS, Graphql, Hadoop, Sql, Pandas, Spark, Azure, Kubernetes, Scala, Google Cloud

Algorithms, system integration, data structures, data models, AI tools, machine learning models, software engineering principles, deep learning architectures, Generative AI models

Machine Learning, Full Stack Development, RESTful API Design and Development, AI Technologies