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KayvanShah1/README.md

Header

I engineer scalable data solutions that power intelligent decision-making. With a passion for data engineering, MLOps, and AI, I specialize in building resilient pipelines, orchestrating infrastructure, and optimizing machine learning workflows to bridge the gap between raw data and actionable insights.

I’m passionate about integrating cutting-edge software technologies into real-world solutions, making them more efficient, scalable, and user-friendly. I thrive on building systems from the ground up, optimizing them for impact, and transforming ideas into monetizable, high-performance products.

🚀 What I Do

- Architect scalable data pipelines that power AI and analytics.

  • Optimize ML and MLOps workflows for seamless deployment.

  • Implement cloud-native solutions for automation and efficiency.

  • Design retrieval and search systems to enhance knowledge accessibility.

💡 Recent Work

Currently exploring LLM fine-tuning and retrieval techniques to improve AI-driven content discovery.

📈 My GitHub Stats

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⚡ Technologies

python numpy pandas plotly folium scikit-learn tensorflow opencv pytorch fastapi selenium django html5 css3 javascript mysql postgresql mongodb elasticsearch kibana vscode chrome brave git docker kubernetes terraform github-actions google-cloud-platform amazon-aws heroku jupyter googlecolab

🌌 Find me

linkedin github gitlab kaggle stackoverflow

🎯 Always Open to Discussions

I enjoy solving complex data challenges and collaborating on innovative projects. Let’s connect!

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