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https://github.com/neeldevenshah/neeldevenshah

Config files for my GitHub profile.
https://github.com/neeldevenshah/neeldevenshah

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Config files for my GitHub profile.

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# 🚀 Neel Shah

[![Twitter Follow](https://img.shields.io/twitter/follow/neelsha52882569?logo=twitter&style=for-the-badge)](https://twitter.com/neelsha52882569)
[![LinkedIn](https://img.shields.io/badge/-LINKEDIN-0077B5?style=for-the-badge&logo=linkedin&logoColor=white)](https://linkedin.com/in/neeldevenshah/)
[![Kaggle](https://img.shields.io/badge/-KAGGLE-20BEFF?style=for-the-badge&logo=kaggle&logoColor=white)](https://kaggle.com/neelshah2022)
[![Medium](https://img.shields.io/badge/-MEDIUM-000000?style=for-the-badge&logo=medium&logoColor=white)](https://medium.com/@neeldevenshah)

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## 👨‍💻 About Me

I'm a passionate AI Engineer and Data Scientist, revolutionizing industries through innovative AI solutions. With a keen interest in cutting-edge technologies, I'm constantly pushing the boundaries of what's possible in the world of artificial intelligence.

### 🌱 Currently Learning

- State-of-the-art MLOps practices for seamless AI deployment and monitoring
- Advanced Azure AI and cognitive services for building intelligent cloud solutions
- Graph-based machine learning models for complex relational data analysis
- Deep reinforcement learning techniques for robotics and autonomous systems

### 💬 Ask Me About

- Designing and implementing end-to-end machine learning pipelines
- Optimizing deep learning models for edge devices and cloud deployment
- Leveraging Azure's AI infrastructure for scalable and efficient AI solutions
- Implementing MLOps best practices for continuous integration and deployment of ML models
- Applying graph-based models and algorithms to solve complex network problems
- Developing reinforcement learning agents for real-world applications

### 📫 How to Reach Me

Feel free to reach out at [email protected]

### ⚡ Fun Fact

"I've spent so much time training reinforcement learning agents that I've started to see life as a Markov Decision Process. The other day, I tried to calculate the Q-value of doing my laundry versus ordering takeout. Turns out, unlike RL agents, humans can't just reset the environment when things go wrong. Now I'm stuck in a suboptimal policy, wondering if there's a better state-action pair I'll never discover. At least my algorithms converge faster than my life decisions – most days, anyway. And don't even get me started on trying to model my social network as a graph – apparently, people don't appreciate being referred to as 'nodes' with 'edge weights'."

## 🛠️ Languages and Tools












## 📊 GitHub Stats


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## 🏆 GitHub Trophies



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Let's connect and chat! Open to exciting AI collaborations.



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