Tensorflow, Pytorch, Python, scikit-learn

Api Integration, Google Cloud, MLops, Azure, Python, AWS, LangChain, CrewAI, orchestration frameworks, Generative AI, model deployment, vector databases, prompt engineering, LangGraph, AutoGen, Agentic AI, AI agents

Flask, Python, Hl7, FastAPI, embeddings, vector search, ICD-10, FHIR R4, self-hosted edge inference, quantisation, LOINC, SNOMED CT, GGUF, evaluation systems, retrieval, PDPA-style governance, LLM safety, fine-tuning, LLMs, health data standards, mobile ML, llama.cpp, vLLM, voice conversational AI pipelines, LoRA, RAG, QLoRA

Networking, Docker, Python, AWS, Gcp, It Infrastructure, Azure, Kubernetes, pgvector, vector databases, MLflow, Pinecone, LangGraph, prompt engineering techniques, LLM APIs, end-user system support, RAG architectures, CrewAI, LangChain, Weights Biases, Anthropic, Open AI, ML fundamentals, MLOps tooling, Gemini, Weaviate, agentic frameworks

Pytorch, Neural control systems, Multi-sensor data streams, Agent-based training paradigms, Deep learning libraries, Policy learning, Multi-node GPU training workflows, Telemetry analysis

Databases, Git, Machine Learning, Apis, Data Science, Python Programming, large language models, cloud-based applications, AI APIs, prompt engineering

Power Bi, Sql, Tensorflow, Pytorch, Docker, Databricks, Rest Apis, Kubernetes, Python, LangChain, Microsoft Azure AI, Semantic Kernel, Google Cloud Vertex AI, AWS AI Services, Vector Databases, Data Engineering and ETL, Git version control, Machine Learning fundamentals, Microsoft Fabric, Prompt Engineering

Python, AWS, Agentic AI workflows, CI CD pipelines, Llm, data ingestion pipelines

Pytorch, MLops, Docker, Python, Kubernetes, KV caching, batching strategies, quantization, vLLM

Numpy, Pytorch, Tensorflow, Python, Machine Learning, Pandas, Agentic AI, Scikit-learn