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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 and Flask
  • Pyspark for ETL and maintaining a data lake
  • AWS, EC2, S3, Lambda, DynamoDB, Kinesis etc
  • GCP, Kubernetes Engine, Cloud Functions, Compute Engine, BigQuery, Artifact Registry etc
  • Airbyte, open source contribution particularly to make an in-house tool for a startup in Hamburg
  • Databricks, Delta Tables etc
  • Redash, Superset etc
  • Docker and Kubernetes, on-prem and cloud managed

I recenlty got hands on with end-to-end pipelining with kubernetes on Google Cloud Docker and K8s deployment pipelining

Pinned Loading

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

    Breast Cancer lump classification using CNN

    Python 4 1

  4. Tensorflow-BuildFromSource Tensorflow-BuildFromSource Public

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

    11

  5. GKE-gitAction-pipeline GKE-gitAction-pipeline Public

    The python scripts, send me an email saying that, "I am a message from python script". But in order to do so, first I have to merge a branch or push code into master branch. Next the Docker image i…

    Python 1

  6. whatsapp-gpt whatsapp-gpt Public

    Forked from danielgross/whatsapp-gpt

    Go