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Syed Muhammad Talha Rasheed Zaidi

Syed Muhammad Talha Rasheed Zaidi

Software Engineer

Technology / Internet

Multan, Multān District

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About Syed Muhammad Talha Rasheed Zaidi:

A highly motivated software engineer experienced in application development, data analytics, and cloud architecture. A strong history of developing platforms to enhance data-driven decision-making. Adaptable at identifying innovative solutions in collaboration with diverse teams and project stakeholders.

Experience

I have 6 months of recent hands-on experience as a Cloud & Infrastructure Intern at Systems Limited (Aug 2024 – Jan 2025), where I:

  • Worked extensively with Microsoft Azure (VMs, deployment models, and security)
  • Performed vulnerability assessments and recommended remediation
  • Automated repetitive tasks using Python and PowerShell (report generation, file structuring)
  • Built web scrapers with Selenium and BeautifulSoup (e.g., scraped data from top 10 U.S. hospitals)
  • Designed and deployed a fully functional Employee Database Management System using Microsoft PowerApps with secure self-service features

Earlier, I completed a 6-month PHP Web Development Internship at EWS (Pvt) Ltd (2021), contributing to a scalable doctor appointment system using PHP, MySQL, and Laravel—handling database design, module integration, code reviews, and debugging.

Alongside, I’ve led two major academic projects that won 1st position at Air University’s FYP Exhibition:

  • A 97.16% accurate AI model for cataract detection using hybrid deep learning (InceptionResNetV2 + Xception + SVM)
  • A full-stack IoT Smart Home Watering System with Android, web, and hardware integration

In short: I bring solid experience in cloud (Azure), automation, full-stack/low-code development, web scraping, and applied AI—with a proven ability to deliver end-to-end, production-ready solutions.

Education

  • Master’s in Computer Science, Air University, Islamabad, 2021–2024. Focused on deep learning, data science, and advanced programming. Final-year project: Hybrid Deep Neural Network for Cataract Detection (97.16% accuracy) → 1st Position in Air University FYP Exhibition 2021.
  • Bachelor’s in Computer Science, Air University, Islamabad, 2017–2021. Strong foundation in software engineering, databases, web development, and IoT. Key project: Smart Home Watering System (IoT + Android + Web) — also recognised in the same 1st-place FYP showcase.

Recent Certifications (2025)

  • Data Science and Machine Learning
  • Generative AI

This combination gives me a solid mix of advanced AI/ML expertise, full-stack development, and real-world project execution—directly supporting my current focus on cloud, automation, and intelligent systems.

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