Ml, Nlp, Generative AI, LLMs, AI governance

Eda, Power Automate, Power Platform, Clustering, Sql, Azure Machine Learning, Python, Power Apps, Classification models, anomaly detection, Fabric ML, Azure AI, Time-series forecasting, Copilot Studio

data pipelines, AI ML engineering, model training and deployment, ML platforms, generative model applications, quality standards, evaluation systems, video image generation, engineering processes, inference services, cloud GPU compute, ML AI production systems

Distributed Systems, Apis, PostgreSQL, Google Cloud, Azure, Python, AWS, LangChain, CrewAI, LLM-powered Applications, Generative AI, Scalable Backend Services, LangGraph, Vector Databases, Embeddings, semantic search, LlamaIndex

Ml, Nlp, Generative AI, LLMs, AI governance

Api Integration, Microservices, Databricks, Azure Machine Learning, Azure OpenAI Service, Vector search embeddings, serverless architectures, Synapse, ADLS, Azure Data Platform, Azure AI Studio, Azure Cognitive Services, Fabric

Tensorflow, Sql, AWS, Pytorch, Python, Azure, Gcp, MLops, Agentic AI, Generative AI

Distributed Systems, Unity, Networking, Microservices, Python, Swarm algorithms, Decentralised interaction protocols, Agentic AI frameworks, SLAM, Control Loops, Motion planning, Localization, Webots, Gazebo, GRPC, Isaac Sim, Boids algorithm, ROS2, Multi-Robot System Architecture, Real-time systems, Particle Swarm Optimisation, petri nets, DDS, Generative AI, Distributed Data Fusion

Robot Operating System, Algorithm Development, Machine Learning, Computer Vision, Distributed Systems, Python, C++, Multi-Agent Systems, sensor fusion, Simulation Software, control theory, Embedded Systems, ROS2, Multi-Robot System Architecture

Machine Learning, Python, MPC, Optimization Systems, Cloud-Native or Distributed System Environments, Operations Research, reinforcement learning, Time-Series Forecasting Frameworks