Python, Tensorflow, Pytorch, Gcp, Docker, Rest Apis, Azure, Kubernetes, AWS, RAG frameworks, Scikit-learn, Hugging Face, vector databases, Lang Chain, Lang Graph, Pinecone, Chroma, CI/CD pipelines, microservices architecture, FAISS, Llama Index, Weaviate, Large Language Models

Azure Databricks, Microservices, Docker, Spark, Azure cloud services, Kubernetes, AI orchestration frameworks, Prompt engineering, Software Engineering Application Development, AI Solution Architecture, AI Engineering Generative AI, Developing REST APIs, Generative AI solution design, Large Language Model LLM application development, Data Engineering AI Platforms, Cloud DevOps MLOps, Developing agentic AI workflows, Proficiency in Python, Building deploying and maintaining AI-powered applications, Event-driven architectures

Python, multimodal models, hallucination mitigation techniques, LLMs, OpenAI, LlamaIndex, fine-tuning workflows, fine-tuning techniques, PEFT, Haystack, LoRA, LangChain, CI CD pipelines, Mistral, Generative AI models, instruction tuning, RAG pipelines, MLOps tools, guardrails, data pipelines, LLaMA, Anthropic, safety mechanisms, model monitoring, prompt engineering

Python, ML DL model development, LLM integration, Agentic AI systems, RAG Retrieval-Augmented Generation, HTTP REST APIs, prompt engineering, LLM-based applications

Sql, AWS, Python, MongoDB, CrewAI, LangChain, ADK, LangGraph

Java, Selenium Webdriver, Api Testing, Sql, TestNG, Jenkins, JUnit, Restassured, Swagger, Api Automation, Postman, Python, Azure DevOps, GitHub Actions, CI CD tools

tokenization , Java, Oauth, Page Object Model, Jenkins, Selenium, Page Factory, OpenAI Assistants, Generative AI, Prompt engineering, Context window management, Basic Authentication, NTLM, GitHub Actions, semantic search, Agentic AI, Bearer Tokens, AI agents, Large Language Models

Large Language Models (LLMs), Apis, automation solutions, Python, software architecture principles, event-driven architectures, AI ML technologies, Agile delivery practices

Artificial Intelligence (AI, probability , Machine Learning (ML, model selection , Keras, Sql, Tensorflow, Rest Apis, MLops, Pytorch, Python, Nosql, Docker, CI/CD, scikit-learn, Statistical methods, Mathematical concepts, Performance evaluation, Data preprocessing, Feature engineering, DevOps practices