Java, Apis, System Design, Azure Machine Learning, Python, AI ML concepts, data pipelines, Data Processing, Microsoft Azure AI services, REST API integration, model lifecycle

Pytorch, Python Programming, LSTMs, reinforcement learning, RNNs, graph theory, Hugging Face, Heterogeneous GNNs, Nvidia Triton, PyTorch Geometric, GNNs, Nvidia NIMs, HGNNs, VLLM, Agentic AI, Transformers, AI reasoning

Tensorflow, Pytorch, Python, scikit-learn

containerization , Tensorflow, Java, Machine Learning, MLops, Pytorch, Neural Networks, Pattern Recognition, Python, Deep Learning, Cloud Platforms

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

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

MLops, Model performance monitoring, Model Development Optimization, Drift detection, Data Feature Engineering, AI Engineering, Production Systems Software Engineering, CI CD for ML systems

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

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