Sabika Fatima

PROFESSIONAL PROFILE Electrical Engineering undergraduate with a strong foundation in embedded system design, machine learning, and applied artificial intelligence. Academic and project work includes STM32-based RTOS applications, real-time driver drowsiness detection using computer vision, and intelligent safety and monitoring systems. Experienced in combining hardware, software, and data-driven approaches to address real-world engineering challenges. Actively involved in research, development, and innovation-focused projects across embedded, AI and signal processing domains. EDUCATION Electrical Engineering SEECS , Islamabad , 3.12 (2026) INTERNSHIP EXPERIENCE Web Developer Intern — CodSoft 01-Jun-2023 - 01-Jul-2023 1)Designed and developed responsive web pages using HTML and CSS. 2)Built a landing page and personal blog website focusing on usability and clean UI design. 3)Developed a travel agency website using Java and HTML, implementing structured layouts and basic functionality. 4)Gained practical experience in frontend development and web deployment workflows. Research Intern — Machvis Lab SEECS 01-Jun-2024 - 01-Sep-2024 1)Reviewed research papers on driver drowsiness detection. 2)Conducted research on accident prevention and driver safety systems using machine learning techniques. 3)Worked with real-time data acquisition and preprocessing for safety-critical applications. 4)Contributed to experimental analysis and performance evaluation of deep learning models. AI Intern — National Aerospace Science & Technology Park (NASTP), QUEST Program 01-Jul-2025 - 31-Aug-2025 1)Worked in the AI division, contributing to software and AI-based development projects. 2)Developed a portfolio website to showcase technical projects and professional work. 3)Built a card scanner web application using OCR for automated text extraction. 4)Contributed to a large-scale project “Connects”, aimed at integrating multiple online shopping platforms in Pakistan into a single unified system. Intern — Finplement 01-Jul-2025 - 01-Sep-2025 1)Conducted a detailed audit of Finplement’s website and LinkedIn presence. 2)Prepared and delivered a professional presentation with actionable recommendations for improving digital visibility and engagement. 3)Demonstrated strong analytical, communication, and strategic thinking skills in a corporate setting. 4)Worked closely with the operations team to align recommendations with business goals. FINAL YEAR PROJECT Reconstruction of self mixing interferometric (SMI) signals for weak feedback This project focuses on interferometric phase reconstruction under low-contrast (C < 1) conditions, where conventional phase extraction techniques fail or produce large errors. A zero-crossing–based reconstruction pipeline is developed to estimate displacement and phase accurately from noisy interferometric signals. The work involves signal preprocessing, zero-crossing

Electrical Engineering undergraduate with a strong foundation in embedded system design, machine learning, and applied artificial intelligence. Academic and project work includes STM32-based RTOS applications, real-time driver drowsiness detection using computer vision, and intelligent safety and monitoring systems. Experienced in combining hardware, software, and data-driven approaches to address real-world engineering challenges. Actively involved in research, development, and innovation-focused projects across embedded, AI and signal processing domains.