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  • 13:54 (UTC +01:00)

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sdrahim786/README.md

πŸ’« About Me:

πŸ”­ I'm currently working on building AI Automations , Applications and working as a Project Manager Intern.
πŸ‘― I'm looking to collaborate on open-source ML/AI projects, LLM-based applications, and anything involving real-world predictive analytics
🀝 I'm looking for help with breaking into ML/AI engineering roles and I'm open to mentorship, referrals, and connections in the industry
🌱 I'm currently learning Large Language Models, Transformer architectures, AI agents, and MLOps/deployment pipelines
πŸ’¬ Ask me about machine learning, neural networks, Python, going from a traditional CS background to AI, or surviving a masters degree abroad
⚑ Fun fact I started my coding journey with C pointers and Java OOP, took a detour into digital marketing, and now I'm training neural nets
and the pipeline from printf to model.predict() was not linear LOl.

🌐 Socials:

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πŸ’» Tech Stack:

C C++ HTML5 CSS3 JavaScript Python AWS Google Cloud Vercel Next JS React Flask FastAPI .Net MongoDB MySQL Keras Matplotlib mlflow NumPy Pandas TensorFlow PyTorch scikit-learn GitHub Power Bi

πŸ“Š GitHub Stats:



πŸ† GitHub Trophies

πŸ” Top Contributed Repo


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  1. Smart-Meters-London-Prediction- Smart-Meters-London-Prediction- Public

    Predicting daily household electricity consumption using Machine Learning Model and Deep Learning Neural Networks

    Jupyter Notebook 1