.NET, Java, Node.js, API design, Python, Agentic AI, LLM APIs, GenAI applications, Vector databases, backend integrations, RAG pipelines

Algorithms, Java, Azure ML, data structures, Python, LangChain, RAG-based solutions, LLMs, vector databases, Azure AI, Azure OpenAI

Python, Git, Rest Apis, LLM APIs, Debugging skills, Context window management, Agent frameworks, Pydantic AI framework, Prompt engineering

bedrock , AWS, Python, Tensorflow, Pytorch, "AI/ML", GenAI, "AI Engineer", ML Engineer", Nova, LLMs, RAG, LangChain, "Hugging Face", "Vertex AI", "Azure AI"

Python, Elasticsearch, Gen AI, LangChain, LLM orchestration, OpenSearch, Vespa

graph databases , MLops, Azure, AWS, Fine-tuning strategies, ML algorithms, RAG frameworks, Data engineering pipelines, Model training optimization, Model evaluation techniques, Graph-based retrieval systems, Embedding models, GenAI LLM systems, Distributed training

prompt , AWS, python, Generative AI

Machine Learning, Python, aws bedrock, sagemaker, Ai

Database Design, Apis, Github, Pyspark, Dev Ops, Automated Testing, Data Analytics, Data Warehousing, JIRA, Shell Scripts, Microservices, Data Quality, Jenkins, Linux, Data Governance, Data Modelling, Udeploy, Python, API Gateways, CI CD, AI Gen AI, Harness

Java, Microservices, Git, Distributed Systems, Rest Apis, Azure, Python, LangChain, LLMs, cloud platforms, vector databases, Pinecone, prompt engineering, FAISS, RAG, LlamaIndex