Haffi Sajid

Academic

Career

Verbatim text

Haffi Sajid
Cell: 923367980321 |  Email: huzaifa.sajid300@gmail.com
LinkedIn: https://www.linkedin.com/in/haffi-sajid-452331290/
Address: , Pakistan
PROFESSIONAL PROFILE
 
Myself Haffi Sajid- A motivated and detail-oriented final-year engineering student with strong foundations in technical analysis,
problem-solving, and applied research. Experienced in corporate engineering environments through hands-on internship exposure,
with a growing interest in the application of AI and machine learning for real-world problem solving. Demonstrates the ability to work
collaboratively in multidisciplinary teams, adapt to professional settings, and communicate effectively with technical and non-technical
stakeholders. Seeking opportunities to apply technical expertise and analytical skills in a challenging professional environment.
EDUCATION
Bachelors in Electrical Engineering
SEECS , Islamabad , 3.07 (4)
INTERNSHIP EXPERIENCE
DESCON Engineering Limited
01-Jul-2025 - 15-Sep-2025
Completed a professional internship at DESCON Engineering Limited in the Design and Infrastructure Division, gaining practical
exposure to corporate engineering operations and industry practices. Worked under the supervision of senior engineers and actively
participated in technical discussions and coordination activities. Key learnings and responsibilities included: Gained hands-on
exposure to engineering design workflows and infrastructure project planning. Attended technical and coordination meetings with
multiple vendors and suppliers, including Schneider Electric and cable vendors, to understand procurement, specifications, and
compliance requirements. Developed an understanding of corporate work culture, professional communication, documentation
standards, and teamwork in a large engineering organization. Observed real-world project execution processes, stakeholder
coordination, and decision-making in an industrial environment. This internship strengthened both technical understanding and
professional skills essential for working in corporate and engineering settings.
FINAL YEAR PROJECT
Remote Monitoring of Cardiovascular Diseases Using AI/ML
Designed and developed a final-year project focused on the remote monitoring of cardiovascular diseases using artificial intelligence
and machine learning techniques. The project aims to assist in early detection and continuous monitoring of cardiovascular health
through data-driven analysis. Project 
highlights: Utilized physiological signals (such as ECG/PPG-based parameters) for
cardiovascular condition monitoring. Applied machine learning algorithms for pattern recognition, feature extraction, and disease
prediction. Emphasized remote and real-time monitoring to support preventive healthcare and early diagnosis. Integrated concepts
from signal processing, data analysis, and AI/ML to address a real-world healthcare problem.
TECHNICAL EXPERTISE
Programming & Tools / Machine Learning / Signal Processing / Healthcare Analytics / Project Management /
Technical Documentation / Corporate Engineering Exposure / Professional Communication / Team
Coordination
Possesses technical expertise in programming and computational tools including Python and MATLAB, with experience in data
analysis, visualization, and signal processing. Has a solid understanding of machine learning concepts such as supervised and
unsupervised learning, feature extraction, model evaluation, a ...

AI enrichment