Seemab Ramzan
NUST
· 2026
·
404989
Email
sramzan.bee22seecs@seecs.edu.pk
Phone
923461261818
GitHub
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Academic
Program
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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
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Career
Current role
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Target role
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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