Tensorflow, Numpy, Pytorch, Docker, Dicom, Python, AWS, Pytest, Gcp, Opencv, Keras, FastAPI, Azure, Kubernetes, scikit-learn, Segmentation, TensorRT, MLflow, CI CD, CNNs, ONNX, Classical ML, Vision Transformers, nnU-Net, Weights Biases, Calibration, NIfTI, Clinical Metrics, MONAI, Detection

Sqlalchemy, API security, PostgreSQL, Rabbitmq, Sqlite, Flask, FastAPI, Python, LangChain, Django ORM, AI ML development, document extraction, langFuse, large-scale RAG systems, Cloud Data Warehouses, OCR pipelines, LangGraph, RAG methodologies, langSmith, Java Spring Boot, fine-tuning LLMs

Generative AI and Large Language Models (LLMs), Microsoft Azure, FastAPI, Python, Azure OpenAI AI services, RAG embeddings vector semantic search and prompt engineering, Authentication and API security concepts, REST API design and integration, Docker and containerised application deployment, Git and version control, SQL and relational databases, Application debugging logging and troubleshooting

large language models (LLMs), multi-agent workflows, embedding-powered retrieval solutions, GenAI-based systems

Api Development, Tensorflow, Pytorch, Gcp, Azure, Python, AWS, LangChain, Airflow, Prompt engineering, Model deployment, Scikit-learn, Hugging Face, MLflow, Kubeflow, MLOps tools, LLM frameworks, Data workflows, LlamaIndex, ETL pipelines

AWS, FastAPI, Python, Kubernetes, Docker, EKS

software engineering practices , Large Language Model (LLM) applications, Retrieval-Augmented Generation (RAG), Apis, Microservices, MLops, Python, AI development frameworks, LLMOps, architecture patterns, semantic models, prompt engineering, cloud environments, agentic AI architectures, DataOps, knowledge and context graphs, CI/CD, modern AI methodologies, cloud-native development

Python, Databricks, Sdlc, System Design, AWS, FastAPI, LLMs, Multi-agent orchestration, AI agent development, Semantic Kernel, Azure AI Foundry, Vector search systems, Production grade scalable AI systems, Enterprise AI platforms, LangChain, Agentic AI, Generative AI, LangGraph, Cloud native architectures, Embedding pipelines, Transformers