Muhammad Hamza Ijaz

PROFESSIONAL PROFILE Bachelor’s in Electrical Engineering and software developer with a research focus on Quantum Computing, particularly Quantum Federated Learning (QFL) and distributed intelligence. Experienced in machine learning, post-quantum cryptography, and quantum-safe smart contract development, with practical skills in mobile and web application development and Linux-based environments. Passionate about solving real-world problems through research-driven software development. EDUCATION BACHELOR OF ELECTRICAL ENGINEERING School of Electrical Engineering and Computer Science , Islamabad, sector H-12, main campus , 2.66 (2022) INTERNSHIP EXPERIENCE Upwork, Mobile App Developer 01-May-2025 - 26-Jan-2026 Mobile App Developer with experience building scalable, user-friendly Android applications, handling both frontend and backend development, API integration, performance optimization Optical Networks and Technologies Lab, Seecs, Nust, Remote 29-Jul-2025 - 16-Oct-2025 Deployed a NETCONF client–server setup using Netopeer2 and Sysrepo for network automation, designed virtual networks with Docker, and simulated SDN scenarios using Mininet. QuantumRonics, Evacuee Trust Complex, F-5, Islamabad, Hybrid 27-Oct-2025 - 30-Jun-2026 Researching PQC-enabled blockchain systems, focusing on quantum-resistant cryptography and secure smart contract integration. TechnoSofts, Software Development House, Sialkot, On Site 29-Jun-2025 - 09-Oct-2025 Developed and deployed the VPN MAX mobile app (frontend & backend) to the Google Play Store, and contributed to Shield VPN, currently under review. FINAL YEAR PROJECT Analyzing Federated Learning Techniques in Quantum Computing Environments for (QFL) Applications This project studies quantum-based federated learning (QFL) using Qiskit simulations, analyzing noise, qubit limitations, and scalability, and comparing quantum and classical FL in terms of convergence, efficiency, and robustness. TECHNICAL EXPERTISE Research in QFL, Mobile App Dev Quantum Computing (Qiskit, QFL), Machine Learning models, Post-Quantum Cryptography and smart contract security, Mobile App Development (frontend & backend), Web Development, Linux-based development, networking and SDN simulation, API integration, and system optimization.

Bachelor’s in Electrical Engineering and software developer with a research focus on Quantum Computing, particularly Quantum Federated Learning (QFL) and distributed intelligence. Experienced in machine learning, post-quantum cryptography, and quantum-safe smart contract development, with practical skills in mobile and web application development and Linux-based environments. Passionate about solving real-world problems through research-driven software development.