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Hi šŸ‘‹ , I'm Kabir!

Medical Machine Learning Engineer x Data & MLOps Engineer!!!šŸ˜Š

Specialty: Computer Vision & Medical Imaging

  • šŸŒ± Iā€™m currently learning image processing techniques with deep learning
  • šŸ“š Data and MLOps on Cloud platforms
  • āš” I have a strong interest in AI for Medical Diagnosis, Prognosis and Treatment
  • šŸ“ First class degree in biomedical engineering (2022) šŸ˜Š
  • šŸ¤” Iā€™m looking for help with mentorships and internships.
  • šŸ“š I am an Unrepentant learner | Growth-oriented | Intentionally curious
  • šŸ‘Æ Iā€™m always ready to collaborate with other learners
  • šŸ˜„ Pronouns: He/Him

I love connecting with new people so if you want to say hi, you can reach me using the links below šŸ¤™

Contact

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A little more about me...

const mkh = {
    code: ["Python", "SQL<<"],
    askMeAbout: ["AI", "Deep learning", "MLOPs", "Medical Imaging and Applications"],

    GENERAL SKILLS:
    	{
	CV:
	     [Image Classification, Image Segmentation, Object Detection & Recognition],
	MLOps:
	     [Iterative tools:[DVC, MLEM, CML, Studio], MLFlow, MLRUN, TFX, Kubeflow, Kubernetes, Docker, Airflow, Git, Dagshub,
		FastAPI, Streamlit, ONNX, Hub, Kibana, omegaconf, Hydra...]
	NLP:
             [NER, Text Summarization, Medical Report Generation],

        Others: [
	     Time Series: [Medical Signals, Statistical Modeling, Data Analytics, Data Visualisation, and Probability],

    	FRAMEWORKS:
	     [Tensorflow, Keras, Pytorch, Monai],
    	LIBRARIES:
	     [Scikit-learn, Pandas, Numpy, Scipy, Pycaret, Opencv, Cvlib, Matplotlib, Spacy, Streamlit, Radtext, Sympy, Spacy],

    	CLOUD TECHNOLOGIES:  
	     [AWS, GCP, Abacus.AI, CNVRG/MLCON, Vertex AI],

    },
  
};

marshall-mk


marshall-mk



Visitor count

Muhammad Kabir Hamzah 's Projects

3d-guidedgradcam-for-medical-imaging icon 3d-guidedgradcam-for-medical-imaging

This Repo containes the implemnetation of generating Guided-GradCAM for 3D medical Imaging using Nifti file in tensorflow 2.0. Different input files can be used in that case need to edit the input to the Guided-gradCAM model.

aidgenie icon aidgenie

Empowering Health Care, One Byte at a Time!

brain-tumor-classification-using-mr-images icon brain-tumor-classification-using-mr-images

This repo contains all the source code for my brain tumor classification and segmentation web app using brain MR images. An ensemble model was used for the detection and classification phase, and a res-UNET segmentation model for the segmentation phase. A web app was built using the DASH python library. The final models were then converted into a .tflite model and was deployed on a raspberry pi.

computer-vision icon computer-vision

A decently comprehensive list of computer vision architectures, then and now.

fastapi-for-machine-learning-live-demo icon fastapi-for-machine-learning-live-demo

This repository contains the files to build your very own AI image generation web application! Outlined are the core components of the FastAPI web framework, and application leverage the newly-released Stable Diffusion text-to-image deep learning model.

medlibs icon medlibs

A decently comprehensive list of python libraries that are used for healthcare data analysis.

medmamba icon medmamba

A clean adaptation of the Original MedMamba Implementation

mlbookcamp-code icon mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

norfair icon norfair

Lightweight Python library for adding real-time multi-object tracking to any detector.

opencv icon opencv

Introduction to opencv for absolute beginners.

radtext icon radtext

Python Radiology Text Analysis System

surgical_vqa icon surgical_vqa

Surgical Visual Question Answering. A transformer-based surgical VQA model. Offical Implementation of "Surgical-VQA: Visual Question Answering in Surgical Scenes using Transformers", MICCAI 2022.

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