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Introducing Logometer — a lightweight, zero-dependency Python CLI tool for monitoring logs and detecting unusual error patterns.
It analyzes log streams, flags error spikes and new error types, and supports structured JSON output. It also offers optional LLM-powered explanations.
Built with Python, with testing, sample logs, and documented limitations.
Explore the project on GitHub:
https://github.com/AmanSg098/logometer
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Proud to officially add the AWS Certified Machine Learning Engineer - Associate certification to my toolkit!
Building robust machine learning pipelines and scaling AI workloads securely on the cloud has always been a key focus of mine. Earning this certification has been a great deep-dive into mastering AWS ML infrastructure, MLOps best practices, and production-grade architectures.
Ready to bring these advanced capabilities to upcoming data science and engineering projects! Let's build something impactful. 💡💪
🔗 Verify Certificate:
Validation Number: 74c5808986a64b84addcaa9db725b8bd
Verification Link: https://aws.amazon.com/verification
#AWS #MachineLearning #AI #CloudComputing #DataAnalysis #MLOps
Congratulations on earning the AWS Machine Learning Engineer certification, Hazem khaled! Robust pipelines and cloud automation make all the difference for production-grade AI systems.
It's finally here 🤩
the crazy thing about Claude Code + Framer MCP is how easy it makes remote work
I can literally be away from my computer, open my phone, give Claude a quick prompt, and change a specific section or even a single heading on a project
I asked it to create a 404 page, that’s it!
one prompt. one request. and it got to work
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