Muhammad Abdullah

Academic

Career

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Muhammad Abdullah  
+923005135613, abdullahfast95@gmail.com  
DHA Phase 2, Islamabad. 
LinkedIn: https://www.linkedin.com/in/muhammad-abdullah-
6a2008164/ 
 
Education 
FAST - National University of Computer and Emerging Sciences, Islamabad.  
Bachelor of Science (Computer Science) 
2022 
Major:  
User Experience Engineering, Deep Learning, Knowledge Graphs and Linked Data, Data Mining, 
Machine Learning and Cloud Computing. 
Roots Riverview Campus, Rawalpindi 
2017 
A-Levels (Physics, Chemistry, Mathematics) 
Roots Riverview Campus, Rawalpindi 
2015 
 
O-Levels (Physics, Chemistry, Mathematics, Computer Science) 
Projects 
Final Project: Pest Recognition of Images using Deep Learning (R&D) 
Training a state-of-the-art CNN model on the IP102 dataset which consists of around 75000 images of 102 types of 
pests. Embedding the model in TensorFlow lite format in an iOS mobile application for real time predictions. 
Semester Projects: 
Snake Game [C++]:  
A 2D board game using OpenGL with a snake that gets longer by eating food and the goal is to avoid colliding with 
itself.  
3D Oscillating Sphere with Raytracing [C++, OpenGL]:  
A 3D sphere with customizable texture and oscillation paths rendered with ray tracing. 
YOLO Implementation:  
Interpreting and constructing the YOLO Object detection model from YOLO research paper. 
Vehicle Rental Web App (React JS, Redux, Go, AWS): 
A real-time vehicle rental web app using React JS and backend microservices in Go hosted on AWS cloud. 
Raw data to Knowledge base:  
Converting raw data to Knowledge base in the form of RDF and OWL, linking it with the LOD cloud.  
Airline Reservation System [C++]: 
An Airline reservation system using Linked lists for finding the cheapest and fastest flight paths by applying BFS and DFS  
Work Experience 
AI intern, AIMS Lab FAST - NUCES, Islamabad. 
English to Urdu translation, Parts-of-Speech tagger, XML to CSV conversion, FLASK web 
app for Urdu transcription for YouTube videos. 
Aug 2021 - Sep 2021 
 
Skills & Tools 
Professional Skills: Leadership, Ability to learn quickly, Motivated, Problems Solving, Decision Making 
Technical Skills: 
Python, Tensor Flow, SQL, No SQL, Sci-kit Learn, OpenGL, Flask Rest Framework, SwiftUI (IOS), 
JavaScript, C++, Node JS, React JS, HTML, CSS, UI/UX design, Socket programming, Wireframing, 
XCode, UML, Graph DB, Protege, SWRL, SPARQL, RDF, OWL, Vaticle, Kaggle 
Achievements 
APPCONN EASYYPAISA – Top 5 2021 
We built a Bill splitting app from scratch starting from designing the UI/UX to building a full stack Android app with 
Firebase. Our team secured a place in the top 5. 
Interests 
Reading Philosophical and Psychology books, UI designing, Drawing

AI enrichment