Retrieval-Augmented Generation (RAG), C#, C++, Clustering, Deep Learning, Numpy, Pytorch, Pandas, Decision Trees, Python, Etl, LangChain, Ensembles, CNNs, LangGraph

Tensorflow, Numpy, Pytorch, Docker, Python, AWS, Azure DevOps, Ml, Google Cloud, Azure ML, Jenkins, Pandas, Azure, Kubernetes, MLflow, GitHub Actions, Kubeflow, Google Vertex AI, graph-based RAGs, Scikit-learn, Ai, multimodal transformers, AWS SageMaker, CI CD pipelines

Data Factory, Emr, Data Warehousing, Tensorflow, DataFlow, Deep Learning, Etl, Pytorch, Gcp, ELT, S3, Apache Spark, AWS, Python, Azure, Nlp, Generative AI, LLMs, HDInsight, LlamaIndex, Hugging Face, LangChain, Pinecone, ChromaDB, RAG architectures, FAISS

Cuda, Ubuntu, Python Scripting, Tensorflow, Deep Learning, Test automation, Yocto, Pytorch, Opencl, Performance profiling, Optimization, hip, Linux expertise, ROCm validation

Cuda, Python Scripting, Tensorflow, Test automation, Pytorch, Opencl, Deep Learning, Yocto, Ubuntu, Linux, hip, LLMs, ROCm

developing production-grade backend services using Python, observability and monitoring tools, relational and non-relational databases, infrastructure-as-code, cloud provisioning frameworks such as Terraform or CloudFormation, identity and access management technologies, container orchestration such as ECS Fargate, secrets management, pipeline automation with Azure DevOps, networking and load balancing, LLM API gateway technologies, asynchronous programming frameworks, multi-provider integration across major cloud AI platforms, containerisation with Docker