I’m a Cloud & Data Engineer specializing in building scalable ETL/ELL pipelines, real‑time streaming architectures, and cloud‑native analytics solutions.
🚀 What happens when you combine PyTorch with AWS?
You can go from training a deep learning model to building a scalable machine learning workflow in the cloud.
What would you build with PyTorch on AWS?
#AWS#PyTorch#MachineLearning#DeepLearning#AmazonSageMaker#MLOps
Real-time data is useful. Making it ready for analytics without managing a complex pipeline is even better. 🚀
I explored how Amazon Kinesis Data Streams + Apache Iceberg + Amazon S3 Tables can turn streaming events into queryable open tables.
#AWS#AmazonKinesis#ApacheIceberg
AI agents need more than file access: they need context. 🤖
That’s what makes Amazon S3 Annotations interesting.
Small metadata improvements can make a big difference in how we build AI applications on AWS. 🚀
#AWS#AmazonS3#AI#GenerativeAI#CloudComputing#DevOps
Amazon Bedrock Managed Knowledge Base: Native Connectors, Smart Parsing, and Agentic Retrieval for Enterprise RAG by Muhammad Umair Ashraf https://t.co/KcnhSnz7VO