← Back to cohort

Muhammad Bilal Ali

FAST · 2023
Email
itsbilalalali20@gmail.com
Phone
+923165218558
LinkedIn
https://www.linkedin.com/in/bilal-ali-072b1a198/
GitHub

Academic

Program
Bachelor of Science (Computer Science)
CGPA
Year
2023
Education
FAST - National University of Computer and Emerging Sciences, Islamabad
Address
Cantt, Rawalpindi
DOB

Career

Current role
Lab Demonstrator, FAST NUCES, Islamabad
Target role
Skills
Python, MLFlow, PL/SQL, No-SQL, C++, SQL, JavaScript, HTML, CSS, Socket programming, MPI, React, Node.js, Artificial Intelligence, Algorithms, Hadoop, OpenCv, MongoDB, Operating System, Data Structures, OOP, Software Engineering, Deep Learning, Linux, Leadership, Interpersonal-Skills, Communication, Teamwork, Creative Thinking, Googling

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.
Muhammad Bilal Ali
+923165218558, itsbilalalali20@gmail.com
Cantt, Rawalpindi.
LinkedIn: https://www.linkedin.com/in/bilal-ali-072b1a198/

Education
FAST - National University of Computer and Emerging Sciences, Islamabad.
Bachelor of Science (Computer Science)
2019 to 2023
Major: Programming Fundamentals, OOP, Data Structures, Digital Image Processing, MLOps, Operating Systems, Parallel Distributed Systems, Computer Organization and Architecture, Software Engineering, Artificial Intelligence, Analysis and Design of Algorithms, Web Programming, Computer Networks, Deep Learning, Ethical Hacking & Database Systems.
Fauji Foundation College For Boys, New Lalazar, Rawalpindi
2019
F.Sc (Physics, Chemistry, Mathematics)
Siddeeq Public School, 6th Road, Satellite Town, Rawalpindi
2017
Matriculation (Physics, Chemistry, Biology, Mathematics)

Projects
Final Project: Deep Fake Video Detection Web App named UnMask [Deep Learning, Neural Networks, MERN, PyTorch, Dockers, Kubernetes]
Unmask is a web-based deep fake video detection system designed to detect forged and real videos. Here users can upload any video and it is classified as real or fake.
Semester Projects:
Dodge’Em Pac-Man Game [C++]:
A car game where you must save yourself from opponent cars. Made this using C++ graphic libraries.
Strassen Matrix Multiplication [MPI, C++, Hadoop, Java]:
Designed MPI software capable of performing Strassen Matrix Multiplication on large data.
Super Mario Game [Assembly Language]:
A graphics Super Mario game using Assembly Language.
Automated TORCS Racing Car [Python]:
Automated a TORCS racing car that can win races on different tracks using AI [Decision Tree]
Captcha Detection System [Deep Learning, OCR]:
Reading Captchas Images to Identify Characters in it.
Number Plate Detection [Deep Learning]:
Detecting Number Plates of Cars to identify their Registration Numbers.

Work Experience
Lab Demonstrator, FAST NUCES, Islamabad
March 2022 - Present
Working as a lab demonstrator of Programming Fundamentals, OOP, and Data Structures.

Skills & Tools
Professional Skills: Leadership, Interpersonal-Skills, Communication, Teamwork, Creative Thinking, Googling
Technical Skills: Python, MLFlow, PL/SQL, No-SQL, C++, SQL, JavaScript, HTML, CSS, Socket programming, MPI, React, Node.js, Artificial Intelligence, Algorithms, Hadoop, OpenCv, MongoDB, Operating System, Data Structures, OOP, Software Engineering, Deep Learning, Linux

Achievements
Awarded Winners at a Cricket Tournament at the College level.

Training / Certification
Web Designing and Web Engineering Course at Prime Minister’s Kamyab Jawan Program
Data Engineering Course

Languages
Urdu, English, Punjabi

Interests
Playing Table Tennis, Cricket, Running, watching & playing football, watching seasons & movies.

AI enrichment

Muhammad Bilal Ali is a recent Computer Science graduate from FAST NUCES with a focus on Deep Learning, AI, and full-stack web development. He has practical experience as a Lab Demonstrator and has completed several academic projects involving neural networks, parallel computing, and game development.
Skills (AI)
["Python", "C++", "JavaScript", "React", "Node.js", "Deep Learning", "PyTorch", "MERN Stack", "Docker", "Kubernetes", "MPI", "Hadoop", "SQL", "NoSQL", "MongoDB", "OpenCV", "Linux", "Data Structures", "Algorithms", "OOP"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 154
Created: 1778112744