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snrazavi/README.md

Hi there 👋

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My name is Naser. Thanks for taking the time to view my GitHub Profile.

About Me

I am a results-driven machine learning specialist with a Ph.D. in Artificial Intelligence and extensive experience spanning academia, industry, and start-up ecosystems. Over the years, I’ve taken a wide array of machine learning projects from inception to deployment—demonstrating adaptability, deep technical expertise, and a passion for solving real-world problems. My hands-on experience includes building, training, and optimizing ML models across domains, with production-level deployments leveraging cloud platforms like AWS and Azure.

🧠 Currently, I’m a Senior AI Engineer at Siemens Healthineers, where I work on mission-critical AI solutions for medical diagnostics. My focus areas include Azure, Azure Databricks, Generative AI, and Large Language Models (LLMs)—pushing the boundaries of intelligent healthcare through scalable and innovative cloud-based ML systems.

🎓 With over a decade of university-level teaching in AI and ML, I bring a strong foundation in deep learning and data-driven system design, and a talent for communicating complex concepts with clarity.

🚀 I also moonlight as the Chief Technology Wizard 🧙‍♂️ at MarginsAI, combining AI with startup alchemy at the ADAPT Centre, TCD, Dublin.

🌱 By day, I’m a Machine Learning Engineer, conjuring up models that learn like humans (but without needing coffee! ☕). From architecture design to deployment, I ensure these digital brains are sharp, reliable, and production-ready.

👯‍♂️ Always on the lookout for fellow adventurers! Keen to collaborate on daring startup quests and groundbreaking ideas. Got a spark? Let’s build something amazing together.

Ready to embark on a tech adventure? Reach out and let's make magic happen!* 🌟

Connect with me



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  1. Machine_Learning_2018 Public

    Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz

    Jupyter Notebook 214 105

  2. Deep_Learning_in_Python_2018 Public

    Deep Learning workshop including image classification, face recognition, Object detection, language modelling, image captioning and neural machine translation.

    Jupyter Notebook 133 57

  3. Machine-Learning-in-Python-Workshop Public

    My workshop on machine learning using python language to implement different algorithms

    Jupyter Notebook 119 63

  4. python-2019 Public

    Files required for Python course project

    43 12

  5. Deep-Learning-for-NLP Public

    Contains different course tutorials and jupyter notebook file for applying different Deep Learning models in different NLP tasks such as text classification, summarization, translation, etc.

    Jupyter Notebook 29 3

  6. AI-Programming-using-Python Public

    This repository contains implementation of different AI algorithms, based on the 4th edition of amazing AI Book, Artificial Intelligence A Modern Approach

    Jupyter Notebook 72 28