Nlp, MLops, Azure, Python, experiment tracking, API deployment, NLU, vector databases, container orchestration, GDPR compliance, model serving

bedrock , containerization , Ml, Git, Kubernetes, Python, AWS, LLM Orchestration frameworks, Langchain, embedding models, AI technologies, Llm, LangGraph, Agentic frameworks, RAGs, Generative AI models

graph databases , Python, vector stores, embeddings, rerankers, production RAG search, ML backend engineering, IR systems

Machine Learning, Databricks, Kubernetes, Python, AI ML engineering concepts, containerisation, CI CD, prompt engineering, cloud-native deployment, AI coding tools, RAG, agentic frameworks, Large Language Models

Typescript, Python, evaluation methodology, model fine-tuning, LLMs, evaluation frameworks, Go, synthetic data pipelines, AI system optimization, prompt engineering

Yaml, Cloud Infra, Python, Rigor, Agent building, LLMs

Python, cloud-native applications, containerized deployments, backend API development, document intelligence, GraphRAG, Agentic AI workflows, Security, enterprise chatbots, AI assistants, multimodal AI, AI governance, responsible AI practices, Knowledge Graphs, modern AI frameworks

MLops, Python, LangGraph, Prompt engineering, Container orchestration, Microsoft Agent Framework, SQL database design and querying, Infrastructure-as-code

Sql, Python

Argo, MLops, Python, CrewAI, LangChain, Airflow, SFT, MLflow, AutoGen, LangGraph, Kubeflow, LoRA, QLoRA, LlamaIndex, RLHF