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Muhammad Abdullah Bilal

FAST · 2023
Email
i190616@nu.edu.pk
Phone
+923477054002
LinkedIn
GitHub

Academic

Program
CGPA
Year
2023
Education
Address
DOB

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.
LAMABAD CAMPUS |
by
Muhammad Abdullah Bilal
+923477054002, i190616@nu.edu.pk
Askari XIII, Rawalpindi.
LinkedIn: https:
| lucation
pacheler of Science (Computer Science) 2023
ajor: Data Science, Deep Learning, Data Mining, Knowledge Representation, Machine Learning,
uantum Computing, Digital Image Processing, Multi-Agent Systems
‘ASN Academy, Islamabad 2019
’Level (Maths, Physics, Chemistry)
= Grammar School, Daharki 2016
‘O’Level (Physics, Chemistry, Maths, Additional Maths, Statistics)
Projects
Final Project: Morphnet; An improved framework for graph neural networks [PyTorch GDL, Flask, React.js, D3.js]
‘A dashboard for Smart City that is data driven & continually sensed, and lets authorities monitor and manage the
accidents in real-time, fix road maintenance issues and monitor citizens subjected to rash driving.
Semester Projects:
Quantum Periodicity Analysis [Python, Qiskit]:
Implementation and comparison of Quantum Fourier Transform and Simon’s Algorithm for periodicity analysis of
black-box functions.
Depression Data Ontology [RDF, OWL, SPARQL, Python Flask, React.js]:
Implementation of an ontology for clinical and medical features of patients of depression.
Avatar Generator [OpenCV, Tkinter, Pillow]:
A desktop application that converts images into cartoon-esque avatars.
Fake News Detector [Plotly, nltk, spaCy, WordCloud, Genism, Tensorflow, Pandas, numpy, Matplotlib, Seaborn,
keras]:
‘A deep learning model based on LSTMs that predicts whether the news headline belongs to a fake news article or a
real news article.
Candy Crush [MASM-8086]:
A replica of the famous game candy crush developed in the assembly language MASM-8086.
Hamaray Bachay[PHP, MySql, HTML, CSS, Bootstrap]:
Developed a database and an accompanying web-based frontend for maintaining records of orphanages.
K-Nearest Neighbour[c++]:
Implemented the K-Nearest Neighbour algorithm from machine learning in c++.
Work Experience
orked as a software developer where | developed 2 modules for a Threat Intelligence
Platform, the Heterogeneity module and the correlation module.
orking on a paper on Graph Summarisation with bounded error with Dr. Kifayat Alizai. Jan 2022 - Current
Skills & Tools
Professional Skills | Leadership, Interpersonal Skills, Communication, Writing Skills.
Technical Skills Python, Tensor Flow, OpenCV, PyTorch GDL, SQL, NoSQL, Knowledge Bases, RDF, OWL, SPARQL,
Sci-kit Learn, Flask, Java including Spring, HTML, CSS, React.js, Tkinter, Socket programming, C++,
UML, Quantum Computing, Qiskit, Cirg
Achievements
Trainings / Certification
Participated in AWS Deepracer, hosted by NETSOL.
Activities
Head AI/DS at GDSC, FAST, Islamabad.
Interests
Reading, Playing Guitar

AI enrichment

Muhammad Abdullah Bilal is a Computer Science graduate specializing in Data Science and Deep Learning with experience in software development and academic research. He has built multiple projects involving machine learning, graph neural networks, and web applications, while contributing to a threat intelligence platform.
Skills (AI)
["Python", "TensorFlow", "PyTorch", "Machine Learning", "Deep Learning", "Data Science", "React.js", "Flask", "SQL", "NoSQL", "RDF", "OWL", "SPARQL", "OpenCV", "Qiskit", "Java", "C++", "HTML/CSS", "Graph Neural Networks"]
Status: ai_done
Provenance
Source file:
Created: 1777726225