“The Microsoft Learn Student Ambassador program was introduced to our university by Zahid. His initiative ignited the spirit of volunteerism and emphasized the importance of giving back to the community. I first interacted with him during the interview process, which he was conducting to select core team members for the community. I was immediately struck by the vision and clarity he possessed. He had a detailed plan for leading the society and a clear understanding of what was needed for its success. As a member of the core team, I collaborated closely with Zahid and found him to be confident, hardworking, and adaptable. He pioneered various departments, including graphic design, marketing, and technology. He organized cross-functional meetings, where departments would collaborate, share their plans, and address challenges. Under his leadership and guidance, our community expanded rapidly. We introduced numerous tech experts and facilitated learning opportunities for students across various technologies. Whether it was public speaking or technical workshops, Zahid played a crucial role in the community's growth and progress. Beyond his commitment to the community, Zahid is an outstanding student, consistently ranking among the top in terms of GPA. He possesses expertise in various web, mobile, and cloud technologies and has even published a research paper in the IEEE ICIC conference. Zahid is immensely talented and will undoubtedly be a valuable asset to any team or project.”
About
I started my journey with computers at an early age and immediately fell in love with…
Experience
Education
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Institute of Management Sciences, (IM|Sciences)
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• Full-Tuition Scholarship Recipient
• IM|Computing Society member
• Web Development Lead for Google DSC
• AWS Educate Cloud Ambassador and Campus Lead
• Microsoft Learn Student Ambassador and Campus Lead
• Semester Exchange to Turkey on Scholarship
• Thesis(Final Year Project):
• Text to Image Synthesis using Generative Adversarial Neural Network (GAN) -
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Activities and Societies: A cultural representative for Pakistan.
Courses Studied:
Artificial Intelligence
Wireless Sensor Networks
Data Mining
Introduction to the Turkish Language -
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Licenses & Certifications
Volunteer Experience
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Local Guide - Level 6
Google
- Present 4 years 10 months
Social Services
Mr. Zahid Ali is a Local Guide and basically, Local Guides is a global community of explorers who write reviews, share photos, answer questions, add or edit places, and check facts on Google Maps. Millions of people rely on their contributions to decide where to go and what to do.
Currently, he has a 600+ contribution with 5,065,000+ views on the reviews, photos, and profile.
He also remains a 3x Top Photographer on Google Map. -
Member
IM Computing & Innovation Society
- 1 year 5 months
Science and Technology
Publications
Courses
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Artificial Intelligence
CENG 3511 3.5/4 GPA
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Communication Skills
4GE-216 (4/4) GPA (A)
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Data Communications and Computer Networks
2CC-326 (3.5/4) GPA
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Data Mining
CS 436 (4/4) GPA (A+)
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Data Structure and Algorithms
1CC-211 (4/4) GPA (A+)
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Database Systems
3CC-312 (3.5/4)
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Differential Equations
MTH 223 (4/4) GPA (A)
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Information Security
CS 720 GPA (4/4) A
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Internet of Things
4/4 (A+)
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Introduction to Turkish Language
4/4 GPA (A+)
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Linear Algebra
4/4 GPA (A)
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Microprocessor and Assembly Language
4/4 GPA (A+)
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Object Oriented Programming (JAVA)
3.5/4 GPA
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Operating Systems
4/4 GPA (A+)
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Programming Fundamentals
1CC-111 4.0 GPA (A+)
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Web Engineering
4/4 GPA
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Wireless Sensor Networks
4/4 GPA (A+)
Projects
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Final Year Project "Text to Image Synthesis Using Generative Adversarial Neural Network (GAN)"
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Text to image synthesis using Generative Adversarial Networks (GANs) is a technique for generating realistic images from text descriptions. This is achieved by training a GAN model on a large dataset of images and their corresponding text descriptions. The GAN consists of two neural networks: a generator network that generates images based on text input, and a discriminator network that tries to distinguish between real and generated images. During training, the generator network tries to…
Text to image synthesis using Generative Adversarial Networks (GANs) is a technique for generating realistic images from text descriptions. This is achieved by training a GAN model on a large dataset of images and their corresponding text descriptions. The GAN consists of two neural networks: a generator network that generates images based on text input, and a discriminator network that tries to distinguish between real and generated images. During training, the generator network tries to produce images that are similar to the real images in the dataset, while the discriminator network tries to accurately classify real and generated images. Through this adversarial process, the GAN model learns to generate high-quality images that match the text descriptions. Once trained, the GAN can be used to generate images from new text inputs. This technique has potential applications in areas such as computer vision and natural language processing
Other creators -
Mobile Price Classification using KNN in Python
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Movie Recommendations project in Python using TasteDive API and OMDB API.
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Sentiment Analysis with Python using Twitter's data
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Wheel of Fortune using Python
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Blood Management System using Java and MySQL
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Hotel Management System Using JavaFx and MySQL
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Gaming Website using HTML, CSS and JavaScript
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Hang the Man Game Using C++
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Honors & Awards
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Microsoft Learn Student Ambassador (Beta)
Microsoft
Learn Student Ambassadors are a global group of campus leaders who are eager to help fellow students, create robust tech communities and develop technical and career skills for the future.
https://studentambassadors.microsoft.com/certificate/3d04340f-5240-44df-b80c-4f9488fd6578 -
Highest achiever in 6th Semester
Institute of Management Sciences
Scored 4/4 gpa and topped the semester.
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Microsoft Learn Student Ambassador (Alpha)
Microsoft
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Amazon Educate Cloud Ambassador
Amazon
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Mevlana Exchange Program to Turkey
Higher Education Commission Turkey
“MEVLANA” Exchange Programme is a program that aims the exchange of students and academic staff between the Turkish higher education institutions and higher education institutions of other countries without any geographical constraint. Students will study abroad for one or a maximum two-semester.
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Prime Minister Laptop
Government of Pakistan
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Higher Education Commission Scholarship Holder
Higher Education Commission Pakistan
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Nutanix Hybrid Cloud Scholarship
Udacity
Test Scores
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EF Standard English Test
Score: 67/100
CEFR Level - C1 (Advanced Level)
Languages
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English
Full professional proficiency
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Turkish
Elementary proficiency
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Urdu
Native or bilingual proficiency
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German
Elementary proficiency
Recommendations received
6 people have recommended Zahid
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