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Salman Y. AI, Cybersecurity and General Development

My name is Salman Y. and I have over 1 year of experience in the tech industry. I specialize in the following technologies: Artificial Intelligence, Cybersecurity Monitoring, Machine Learning, Network Security, Penetration Testing, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I've worked on include: Deep Learning for Cancer Detection, Machine Learning Enhanced Cyber Security Operations Centre, Privileged Access Management Exploits and Cyber Incident Response, Cyber Security Dataset for Machine Learning Model, Genetic Algorithms for Physical Impairment Keyboard Optimization. I am based in Windsor, Canada. I've successfully completed 5 projects while developing at Softaims.

I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.

The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.

I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.

Main technologies

  • AI, Cybersecurity and General Development

    1 year

  • Artificial Intelligence

    1 Year

  • Cybersecurity Monitoring

    1 Year

  • Machine Learning

    1 Year

Additional skills

  • Artificial Intelligence
  • Cybersecurity Monitoring
  • Machine Learning
  • Network Security
  • Penetration Testing
  • Genetic Algorithm
  • Research & Development

Direct hire

Potentially possible

Previous Company

University of Windsor

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Experience Highlights

Deep Learning for Cancer Detection

Cancer detection is an active problem in deep learning research. Our research focused on utilizing the latest Deep Learning techniques, including Convolutional Neural Networks to improve the state o

Machine Learning Enhanced Cyber Security Operations Centre

Utilizing industry advanced Security Operations Centre (SOC) management tools Nozomi Networks and Tenable, which utilize Machine Learning techniques to prevent, detect, and respond to cyber attacks on

Privileged Access Management Exploits and Cyber Incident Response

A series of Incident Response exercises were engineered for a corporate cyber security training program. Trainees were taught to utilize commercially-available penetration testing tools to understand

Cyber Security Dataset for Machine Learning Model

By creating a simulated enterprise network environment, performing well-known cyber attacks on that environment, and creating logs of the attacks, this project's aim is to create a cybersecurity datas

Genetic Algorithms for Physical Impairment Keyboard Optimization

Through designing and implementing a genetic algorithm and agent-based modelling and simulation, this project developed a keyboard layout tailored for users with the physical constraint of using only

Education

  • University of Windsor

    Bachelor of Computer Science (BCompSc) in Computer science

    2021-01-01-2025-01-01

Languages

  • Arabic (Native or Bilingual)
  • English (Native or Bilingual)
  • French (Fluent)
  • Turkish (Conversational)
  • Chinese (Conversational)