bedrock , ELT, Lambda, Pytorch, Docker, Python, AWS, MLops, ECS, Spark, Kubernetes, Etl, Langchain, LLM application development, Pinecone, Flink, CI CD, OpenSearch, GitHub Actions, Hugging Face ecosystem, PGVector, EKS, prompt engineering, SageMaker, GitLab CI, Langgraph, RAG

.NET, Java, Phoenix, Tensorflow, Pytorch, MLops, Keras, Python, LangChain, LLMOps, AgentOps, generative models, reinforcement learning, LangGraph, AI methodologies, MLFlow, Google Agent Development Kit

Machine Learning, Hadoop, Apache Spark, Dynamodb, Kafka, Deep Learning, Tensorflow, Pytorch, Presto, Keras, Python, AWS, ML Ops

Java, Machine Learning, Docker, Python, Kubernetes, AWS, NoSQL databases, Streaming technologies

Machine Learning, Tensorflow, Python, Forecasting, LLMs, Drift detection, Scikit-learn, Applied AI, Time-series modeling, Production ML systems, Generative AI systems, Feature engineering, anomaly detection, Embeddings, Agent-based architectures, Retraining, Pydantic, Deployment monitoring, Data pipelines, PTorch, ML frameworks

Open Cv, Tensorflow, Pytorch, MLops, Python, AWS, Langchain, edge computing, HuggingFace, Go, vector databases, RAG based applications, LLM architectures

Machine Learning, Cuda, Tensorflow, Pytorch, Python, Gradient-based optimisation, Mixed-precision inference, Probabilistic inference, Knowledge distillation, GPU-accelerated computing, Weight pruning, Loss surface geometry, Mathematical frameworks, Quantisation, Regularisation theory, Edge AI deployment

containerization , Docker, System Design, Python, Asynchronous processing, Generative AI, Event-driven systems, Cloud platforms, Multi-step AI pipelines, Scalable architectures, distributed architectures, Orchestration frameworks, LLM-based applications, Agentic workflows, Model deployment strategies

Gcp, Docker, Azure, Kubernetes, Python, AWS, Airflow, TFX, MLflow