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rrsr28/README.md

Hey, I'm Sanjay Ram! 👋🏻

💫 About Me:

🧪 I’m currently working on building intelligent and scalable applications using Python.
Also exploring end-to-end ML deployment, API development, and AI-powered storytelling tools.

🤝 I’m looking to collaborate on
Open-source projects, product-focused hackathons, or startup MVPs involving AI/ML, backend systems, or developer tools.

💡 I’m looking for help with
Building production-grade software, scaling ML pipelines, and mastering modern DevOps/MLOps workflows.

🌱 I’m currently learning
Advanced Deep Learning, Reinforcement Learning, and software system design patterns.

💬 Ask me about
How to train models from scratch, ML models with Streamlit or FastAPI, or even how to keep your repo README clean 😄

⚡ Fun fact
Earned LeetCode 100 Days Badge (2023) – Solved problems consistently for 100+ days, ranking in the top 4.2% of global LeetCoders



💻 Tech Stack:

Python C++ FastAPI OpenCV Streamlit MongoDB MySQL Neo4J Figma Keras Matplotlib NumPy Pandas Plotly PyTorch scikit-learn Scipy TensorFlow mlflow GitHub Actions GitHub Git Power Bi Jira Postman


📊 GitHub Stats:


🏆 GitHub Trophies


🌐 Socials:

LinkedIn


✍️ Random Dev Quote


Visitors

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  1. Vision-is-all-you-need Vision-is-all-you-need Public

    Giving eyes to the model along with the attention 😉

    Python 1

  2. Sign-Language-Recognition Sign-Language-Recognition Public

    ASL Recognizer using SVM

    Python 2 2

  3. Claude-keeps-em-tidy Claude-keeps-em-tidy Public

    Letting Claude handle our PR reviews and regular doc updates, because humans need 😴 and 🍵

    1

  4. The-Phone-Database The-Phone-Database Public

    Mobile Phone Price Analysis and Prediction, a web-based tool for exploring historical price trends, comparing phone features, and predicting future prices using data from GSMArena

    Python 1 1

  5. Twitter-Bot-Detection Twitter-Bot-Detection Public

    Jupyter Notebook 3 2

  6. Staircase-Fall-Detection Staircase-Fall-Detection Public

    Analyze video streams in real-time and identify instances of falls

    Jupyter Notebook