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Muhammad Yasir S. AI, Machine Learning and Healthcare Platforms

My name is Muhammad Yasir S. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, AI Model Development, etc.. I hold a degree in Bachelor's degree, Bachelor's degree. Some of the notable projects I've worked on include: Medical Image Tumor Segmentation using Computer Vision, Image Classification for Autism Spectrum Disorder Machine Learning, Pneumonia Detection from Chest X-Ray Images Using Deep Learning app, Skin Disease Recognition from Images Using Transformer Learning, ECG Data Analysis with Biomedical Signal processing in Deep Learning, etc.. I am based in Okara, Pakistan. I've successfully completed 11 projects while developing at Softaims.

I specialize in architecting and developing scalable, distributed systems that handle high demands and complex information flows. My focus is on building fault-tolerant infrastructure using modern cloud practices and modular patterns. I excel at diagnosing and resolving intricate concurrency and scaling issues across large platforms.

Collaboration is central to my success; I enjoy working with fellow technical experts and product managers to define clear technical roadmaps. This structured approach allows the team at Softaims to consistently deliver high-availability solutions that can easily adapt to exponential growth.

I maintain a proactive approach to security and performance, treating them as integral components of the design process, not as afterthoughts. My ultimate goal is to build the foundational technology that powers client success and innovation.

Main technologies

  • AI, Machine Learning and Healthcare Platforms

    2 years

  • Machine Learning

    1 Year

  • Deep Learning

    1 Year

  • Computer Vision

    1 Year

Additional skills

  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Natural Language Processing
  • AI Model Development
  • Model Deployment
  • Healthcare
  • Biomedical Engineering
  • Digital Signal Processing
  • Artificial Intelligence
  • Data Science
  • TensorFlow
  • Research & Development
  • Research Papers
  • Academic Research

Direct hire

Potentially possible

Previous Company

Upwork

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Experience Highlights

Medical Image Tumor Segmentation using Computer Vision

Client: Healthcare Research Organization Objective: To develop a U-Net model for accurate segmentation of medical images, specifically for identifying and delineating tumor regions in MRI scans, to

Image Classification for Autism Spectrum Disorder Machine Learning

Client: Autism Research Institute Problem The client needed an automated system to analyze images of children with ASD and classify specific behaviors or activities observed during therapy or daily

Pneumonia Detection from Chest X-Ray Images Using Deep Learning app

Client: Medical Imaging Solutions Inc. Problem Statement : The client needed an automated system to analyze chest X-ray images and detect signs of pneumonia. Manual interpretation by radiologist

Skin Disease Recognition from Images Using Transformer Learning

Client: Dermatology Innovations Ltd. Problem Statement The client required an advanced system to analyze skin images and classify them into various disease categories. Manual analysis by dermatologi

ECG Data Analysis with Biomedical Signal processing in Deep Learning

Client: Cardiology Research Institute Problem Statement The client needed an automated system to analyze ECG data for the detection and classification of various types of cardiac arrhythmias. The ma

Education

  • COMSATS University Islamabad - Sahiwal Campus

    Bachelor's degree in Computer science

    2017-01-01-2021-01-01

  • COMSATS University Islamabad Sahiwal Campus

    Bachelor's degree in Computer science

    2017-01-01-2021-01-01

Languages

  • English (Native or Bilingual)
  • Urdu (Native or Bilingual)