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Hamza S. from Pakistan

Hamza S.

Pakistan 1-2 years
Open to offersNew to Platform
Languages
EnglishUrduHindi
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About

Hamza S. is a dedicated Software Engineer based in Islamabad, currently pursuing a Bachelor of Science in Computer Science at the National University of Sciences and Technology. At Shahzad Sky, he plays a pivotal part-time role in developing sophisticated tools, such as a Distributor Management Dashboard, which enhances system operation through real-time analytics and optimized queries. His experience extends to a brief but impactful period at Software Productivity Strategists, Inc., where he served as an AI Chatbot Developer, integrating IBM WatsonX solutions for seamless multi-platform customer interactions. As an intern at DevelopersHub Corporation and Gen-Z Media, he honed his skills in AI modeling and frontend development, respectively. He has orchestrated advanced tech projects, including "AI-Assistant-CFO," leveraging Next.js and OpenAI for innovative financial solutions, and "ChainWin," a blockchain-powered lottery app. His technical proficiencies span JavaScript, Python, Solidity, and frameworks like React and Next.js.

Experience

  • Software Engineer (Part-Time)

    Shahzad Sky · 2025 — Present
    Engineered a Distributor Management Dashboard featuring real-time statistics and optimized query handling to alleviate database load. Developed a responsive pagination component and reorganized data modules, significantly enhancing system efficiency and UI performance.
  • AI Chatbot Developer

    Software Productivity Strategists, Inc. (SPS) · 2025 — 2025
    Integrated IBM WatsonX chatbot solutions into over four distinct applications, enhancing API interactions to minimize response latency. Managed the troubleshooting of cross-platform integration challenges and oversaw technical deployment for automated customer interaction systems.
  • AI & Machine Learning Intern

    DevelopersHub Corporation · 2025 — 2025
    Engineered a News Topic Classifier using a fine-tuned BERT transformer model, achieving 94.2% accuracy on the test set. Developed an end-to-end churn prediction pipeline employing Scikit-learn and Random Forest, attaining an AUC-ROC score of 0.85.
  • Web Developer Intern

    Gen-Z Media · 2024 — 2024
    Collaborated closely with the CEO to refine UI/UX designs and frontend components, enhancing the visual identity of both mobile and web applications. Focused on adopting modern frontend best practices to ensure responsive layouts across all device types.

Skills & Expertise

Education

  • Bachelor of Science in Computer Science
    National University of Sciences and Technology · 2023 — Present

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