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Seemab Ramzan

NUST · 2026 · 404989
Email
sramzan.bee22seecs@seecs.edu.pk
Phone
923461261818
LinkedIn
https://www.linkedin.com/in/seemabramzan
GitHub

Academic

Program
CGPA
2.93
Year
2026
Education
Electrical Engineering School of Electrical Engineering and Computer Science(SEECS) , Islamabad , 3.01 (2026)
Address
DHA , Multan , Pakistan
DOB

Career

Current role
Target role
Skills
PROFESSIONAL PROFILE Highly motivated and detail-oriented electrical engineering student at NUST with strong interests in web development, artificial intelligence, machine learning, embedded systems, and smart technologies. Proficient in MATLAB, C/C++, Python, JavaScript, CSS, and HTML, with hands-on experience in developing web applications, including interactive interfaces integrated with IoT devices. Experienced in automation systems, fault detection, electronic circuit design, and IoT-based solutions. Demonstrated leadership through key university roles, with proven abilities in team management and successful project execution. Eager to contribute technical expertise and deliver innovative solutions in dynamic engineering environments, while continuing to expand skills in web development, AI, and IoT. EDUCATION Electrical Engineering School of Electrical Engineering and Computer Science(SEECS) , Islamabad , 3.01 (2026) INTERNSHIP EXPERIENCE Communication System and Networking Lab, SEECS 01-Jul-2025 - 09-Sep-2025 • Developed a web application that displays live temperature and humidity data from an ESP32 and sensor, with updates every 2 seconds. • Integrated the ESP32 with the sensor to fetch real-time data and dynamically update the web interface. • Gained hands-on experience with front-end technologies, including HTML, CSS, JavaScript, and web integration with IoT devices. Korea EHT | Seoul, South Korea 04-Jun-2024 - 14-Sep-2024 • Conducted research on electric heating cable applications in power plants to improve system efficiency. • Documented technical specifications and conducted competitive analysis of industry-standard EHT solutions. • Collaborated remotely with international engineering teams, contributing insights to optimize electrical system designs. • Presented findings in virtual meetings, sharpening technical communication and documentation skills. FINAL YEAR PROJECT Smart Healthcare IoT solution for Type II Diabetes management • Designing and developing a non-invasive glucose monitoring device using infrared (IR) technology to measure glucose levels through the skin. • Creating a mobile application that integrates with the device to monitor glucose levels in real-time, providing users with notifications when their levels exceed predefined thresholds. • Aiming to provide a user-friendly solution for continuous glucose monitoring without the need for blood samples, enhancing accessibility for individuals managing diabetes or those at risk. • Currently in the prototyping phase, with ongoing efforts to refine accuracy, user experience, and app functionality. TECHNICAL EXPERTISE Programming Languages C, C++, Embedded C, Python Software & Tools

AI enrichment

Highly motivated and detail-oriented electrical engineering student at NUST with strong interests in web development, artificial intelligence, machine learning, embedded systems, and smart technologies. Proficient in MATLAB, C/C++, Python, JavaScript, CSS, and HTML, with hands-on experience in developing web applications, including interactive interfaces integrated with IoT devices. Experienced in automation systems, fault detection, electronic circuit design, and IoT-based solutions. Demonstrated leadership through key university roles, with proven abilities in team management and successful project execution. Eager to contribute technical expertise and deliver innovative solutions in dynamic engineering environments, while continuing to expand skills in web development, AI, and IoT.
Status: ai_done
Provenance
Source file:
Created: 1777448793