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kazzastic/README.md

Hello !

I'm an aspiring Master's student in the University of Passau, my degree is in Artificial Intelligence Engineering.

I am an avid open source contributor mostly based on Stackoverflow. I like to be up-to-date with web based frameworks my recent favourite framework would be FastAPI.

Projects:

  • Classification and Segmentation of Breast Cancer using Mask R-CNN This was a government funded project which I did during my bachelor year. The reason I find this project to be my all time favourite is due to the fact that it was the point where I started understanding deep learning vivdely. And another factor could be that I was fully involved in making each step of this project, whether it be data gathering, analysis, engineering, training and then finally making a fully functional web based application, deplyoing the front and backend. I was also able to publish this research on the web, you can check it here

  • Machine Learning based Models For Early Screening & Detection Of Hematologic Cancer Using Cell Population Data For the completion of my bachelow degree program I had to complete a 2 semester long thesis. This research was the topic and implementation of my thesis which can be further explored. This project was done in collaboration with NIBD(National Institute of Blood Diseases). I was yet again involved in making this project end to end. From data gathering, analysis, feature extraction, feature selection, feature engineering, training and then further developing a web based interface on Vue.js and backedn using Express.js along with Flask for machine learning inferences.

  • Visual Landmarks Recognition of Urban Structures using Convolutional Neural Network During my 4th semester I landed an incredile research internship at the National Center for Artificial Intelligence(NCAI, NED-UET). I contributed towards an ongoing visual positioning system project by introducing Convolution Neural Network technique in order to classify building. I was also able to publish a part of this huge project which can be further explored here

Further more my current tech stack would be,

  • FastAPI (python)
  • SpringBoot(Java)
  • Docker(containerization)
  • Heroku, GCP (cloud deployment)

Pinned

  1. CV CV Public

    Computer Vision .Libraries used matplot, numpy, openCV, mazelib standard machine learning libs you know dude

    Jupyter Notebook 8 1

  2. REST-API-neural-net REST-API-neural-net Public

    REST-API based CNN deployed on heroku

    Jupyter Notebook 7

  3. Marker Marker Public

    Pin My Location.

    JavaScript 6

  4. BreastCancer-Deep-Learning BreastCancer-Deep-Learning Public

    Breast Cancer lump classification using CNN

    Python 4 1

  5. Medical-Image-Cleaning Medical-Image-Cleaning Public

    Cleaning the Breast Mammograms and then dividing them into patches. Basically re-implementing a research paper.

    Jupyter Notebook 4 1

  6. Tensorflow-BuildFromSource Tensorflow-BuildFromSource Public

    How to built tensorflow from source, on Xeon processor, ubuntu 19.x, tf 2.x with GPU support.

    11