Experienced Graduate Trainee at Fatima Group, participating in a dynamic IT rotational program, gaining exposure to cybersecurity, web development, app development, and project management every quarter. Collaborated with cybersecurity experts, contributed to web and mobile app development, and managed projects with time efficiency. Demonstrated adaptability and continuous learning, positioning for permanent placement. As a Web Developer Intern at CORVIT Systems, proficiently built front-end web apps using HTML, CSS, JavaScript, and React, reducing production times up to 45% and optimizing system efficiency by 10%. Developed reusable React components and quickly designed prototypes based on requirements. Completed various successful university projects involving C++, assembly, Arduino, and Python. Holds a Bachelor's degree in Electrical Engineering from NU FAST and participated in workshops on robotics and machine learning.
Telephone Directory Management System [C++]
Package Delivery System [GUI]
Calculator Designing with AT89C52 [Assembly]
Mini Computational Logic Unit [Digital Logic Design]
Line Following Car using Arduino [C language]
Shortest Path System for Tour Guide [C++]
E-Commerce Website
Sentiment Analysis of Customer Reviews
Smart Home Automation
Volunteer Work
FAST Care Million Smiles Clothing Drive
Competition Participant
IEEE FAST
Participant
IEEE FAST
Volunteer Work
FAST Care Million Smiles Clothing Drive
· Engaged in voluntary service with FAST Care Million Smiles, demonstrating a commitment to community welfare and social responsibility.
· Demonstrated organizational skills in coordinating logistics and
· efficiently managing clothing donations during multiple campaigns.
· Recognized for outstanding dedication and contribution to the clothing drive initiative, earning a Certificate of Appreciation for exemplary volunteer service.
Competition Participant
IEEE FAST
· Successfully completed the IEEE Arduino Robotics Workshop, gaining comprehensive knowledge of robotics principles and practical applications.
· Demonstrated proficiency in programming Arduino microcontrollers and interfacing with sensors and actuators.
· Collaborated effectively with fellow participants in team-based projects, showcasing adept problem-solving and communication abilities.
Competition Participant
IEEE FAST
· Participated in an intensive Machine Learning with Python Workshop, acquiring in-depth understanding of machine learning algorithms and methodologies.
· Demonstrated adeptness in utilizing Python libraries, including NumPy, Pandas, and Scikit-learn, to analyze datasets and develop machine learning models.
Successfully completed hands-on projects, showcasing proficiency in data preprocessing, model training, and evaluation, and received a Certificate of Achievement for exemplary performance.