Zeerak Naveed

• Developed a hybrid quantum-classical image classification pipeline achieving comparable accuracy across SOTA image classification models (ResNet, Inception, Vision Transformers). • Managed IT inventory and software installations to support lab research. • Conducted experiments integrating parametrized quantum circuits with classical machine learning for error mitigation. • Optimized and accelerated the hybrid pipeline for efficient performance.

• Collaborated in a 24/7 cross-hierarchical team to troubleshoot and resolve system issues within SLA, serving as Incident Manager in Q2 2022. • Configured system monitoring dashboards in MITO and Grafana, set up alarms in Zabbix, and identified security breaches using IBM QRadar and Nessus. • Provided first-level support for Ericsson VAS and second-tier support for Veon-Jazz Access Management, resolving critical business user issues. • Proficient in LinuxOS and ITIL processes, including event, incident, change, access, and problem management. • Created comprehensive incident and root cause analysis reports, ensuring alignment with KPIs.

• Co-founded an agri-tech startup under the NSTP Hatch-8 incubation program, focusing on IoT-based solutions for agriculture. • Procured IT equipment to support drone-integrated systems for crop yield estimation and soil moisture analysis. • Developed deep neural networks for object detection, achieving 89.1% mean average precision. • Engineered drone-integrated systems for crop yield estimation and soil moisture analysis, with computer vision models for data processing. • Secured PKR 120,000 in funding from the Higher Education Commission for prototype development and IT infrastructure setup.