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Working from home
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Working from home
16 followers · 12 following
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Achievement: Arctic Code Vault Contributor

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Achievement: Arctic Code Vault Contributor

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syedayazsa/README.md

Hey 👋, This is Ayaz

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GIF

I am currently pursuing an M.Sc. in Data Science at RWTH Aachen University, Germany, and working as a Research Assistant at Fraunhofer IEE. My extensively work with large language models (LLMs) where I am currently developing an LLM-powered development environment application for to solve Data Science problems.

In my free time, I enjoy swimming, going to the gym, and solving problems on LeetCode.

Although I currently publish my work on an enterprise GitLab, you can explore my previous projects here on my personal GitHub. Feel free to connect with me to learn more!

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  1. YOLOSquared YOLOSquared Public

    Forked from JHertrampf/YOLOSquared

    YOLO^2 is an inference pipeline using two YOLO models in succession. It is designed for detecting motorcycles with the number of passengers, and how many of these are wearing helmets.

    Python

  2. EmoStock EmoStock Public

    Welcome to your one-stop solution for profitable stock investments. EmoStock provides the latest business news, relates it to stock performance, and helps you find the best stocks to invest in. Eas…

    Jupyter Notebook

  3. DES-Encryption-Parallelization DES-Encryption-Parallelization Public

    In this project I have presented a simple approach to Data Encryption Standard (DES) decryption using OpenMP framework. In order to allow a parallel idiom, I have re-implemented a version of DES al…

    C++ 2 1

  4. Deep-Learning-Self-Driving-Car Deep-Learning-Self-Driving-Car Public

    Trained and Tested a highly accurate CNN model for a self-driving car on data collected from Udacity's car simulator.

    Jupyter Notebook 4 1

  5. SlayAllergens SlayAllergens Public

    SlayAllergens is python tool which uses cosine similarity and correlation algorithms to provide content based and collaberative recommendations related to food items.

    Python 2

  6. Bird-Species-Detection Bird-Species-Detection Public

    Built a deep-learning model (transfer learning) to classify 225 bird species having 31316 training images, 1125 test images(5 per species), and 1125 validation images.

    Jupyter Notebook 3