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Muhammad Zohaib Bashir

FAST · 2023
Email
mzbashir30@gmail.com
Phone
+923007804464
LinkedIn
https://www.linkedin.com/in/zohaibbashir/
GitHub

Academic

Program
CGPA
Year
2023
Education
Address
DOB

Verbatim text

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ATIONAL UNIVERSITY llF I
Muhammad Zohaib Bashir
+923007804464, mzbashir30@gmail.com
DHA 2, Islamabad.
LinkedIn: https://www.linkedin.com/in/zohaibbashir/
Education
Bachelors of Artificial Intelligence (Computer Science) 2023
Major: Data Science, Deep Learning, Data Analytics, Data Visualization, Data Mining, Machine Learning,
Natural Language Processing (NLP), Knowledge Representation and Reasoning, Computer Vision,
Reinforcement Learning, Evolutionary Computing, Cloud Computing
Steps College, G.T Road 2019
ICS (Computer Science)
Fauji Foundation College for Boys, Rawalpindi Punjab 2017
Matriculation (Physics, Chemistry, Computer Science)
Projects
Final Project: Automated Football Highlight Generation using Machine Learning, Deep Learning and
Computer Vision Techniques
A video is given, from it the software detects major events that include Goals, Fouls, Near misses. It then compiles these
major events into a single highlight clip. Its length is based on the number of events detected.
‘Semester Projects:
Sentinment Analysis on Text [C++]:
Given an input text, detect the sentiment of the text (Positive, Neutral and Negative).
Encryption/Decryption based on Frequnecy of Characters [C++]
Given a text, encrypt/decrypt it based on the frequency of the characters used within the text.
Tile Matching Video Game [C++]:
(A 2d board game with 5 types of tiles that break when 3 or more of the same tiles are placed vertically or horizontally.
We-Fit [PHP, MySQL]:
Developed a web application for a Gym.
Daraz Web Scrapper [Python, Data Mining, Selenium, BeautifulSoup]:
Scrapped the data from the e-commerce website Daraz.pk
Heart Disease Predictor [Python, Machine Learning, Django]:
Taking several readings such as Blood Pressure, Age, Gender etc. to predict whether you have a heart disease or not
Sentinment Analysis on Audio [Python]:
Given an input audio, detect the sentiment of the audio (Positive, Neutral and Negative).
‘Al BOT for Tic Tac Toe [Python]:
‘A computer bot for the game tic tac toe using concepts such as Game Tree
Work Experience
None
Skills & Tools
Professional Skills | Problem-solving, Analytical thinking, Critical thinking, Interpersonal Skills, Communication.
Technical Skills Python, Tensor Flow, PL/SQL, No SQL, Sci-kit Learn, SQL, Django Framework, Flask Framework,
HTML, CSS, Socket programming, UML, C, C++, Selenium, Django, Docker, Jenkins, Git, Power Bl
land Tableau
Achievements
Two of my blogs are on the official Cloud Native Islamabad Hashnode
Trainings / Certification
Have Udemy Certifications in Python, Flask, Django, Machine Learning and Data Science
‘Am an AWS Academy Graduate
Activities
Contributed in Recording and Verification of Common Voice (Mozilla) Dataset (Urdu)
Interests
Playing Action based and Puzzle Video Games, Reading Comics
ATIONAL UNIVERSITY llF I
Muhummad Jawad Afzal Rana
+92-334-9357531, afzaljawad297 @gmail.com
LinkedIn: https://www.linkedin.com/in/jawad-afzal-b0ab84197
Github: https://github.com/jawad7860
|Education
Bachelor of Science (Artificial Intelligence) 2023
Major: Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, MLOps, Applied
Evolutionary Computing and Knowledge Graphs.
Benchmark School System, Rawalpindi 2019
A Levels (Physics, Chemistry, Mathematics)
OPF Boys College, Islamabad 2017
O Levels (Physics, Chemistry, Mathematics)
[Projects
Final Project: DeepFarm (Agricultural Information & Insights) [Python, Pytorch, Flask, HTML, CSS, JS, Google Collab, OpenCV]
Deepfarm, a web application based on modern Al techniques such as deep neural networks and machine learning models
(Unet) using open-source satellite imagery (Sentinel 2) to assist the agricultural sector. Deepfarm aims to provide agricultural
insights and field level statistics such as crop identification, crop segmentation and crop yield estimation.
‘Semester Projects:
Face Mask Detection [OpenCV, TensorFlow, Python] :
face mask detector with OpenCV, Keras/TensorFlow, and Deep Learning
PointNet 3D Image Classification [PyTorch] :
Implementation of Point-Net architecture with 3D point cloud data classification pipeline.
SPARQL endpoint for Supplements dataset [Protege, rdflib, Python, GraphDB] :
‘Ontology design and knowledge graph developed for structured but unlinked supplements data
Machine Learning for audio data[Python]:
Implementing complete pipeline to train models on audio data
Urdu Poetry Generation[Python,NLTK,Spacy]:
Poetry generation through language models
Transfer Learning & Fine Tuning ASR model [PyTorch, Huggingface]:
fine tuning Wav2Vec model using huggingface transformers and Mozilla Urdu speech data.
Gym Management System[Php,HTML,CSS,SQL]:
Design and implemented system required for functioning of gym
Work Experience
Knowledge Engineer, IKINEX, Islamabad May 2022 - July 2022
Design large scale ontologies in protege; Populating Ontologies using Python; Querying and
developing SPARQL endpoint in GraphDB; Implementing pipeline for Graph Neural Network
Skills & Tools
Professional Skills Communication, Problem-solving, Time Management, Adaptability, Leadership, Continuous Learning
Technical Skills Python,C/C++,Tensorflow,Pytorch,Numpy,OpenCV,Pandas,Solidity,GO,Flask, PHP/HTML/CSS,MIflow,Je
nkins,Docker,Latex,Selenium, SciKit Learn,OpenCV,Gym, Django, Protege, Shell, GraphDB,Cisko Packet
Achievements
e Awarded with Scholarships at college level. (Alevels)
Trainings / Certification
e@ Programming for Everybody (Coursera)
Activities
@ Member of Al developers’ community under Al and DS society (ADSoc, FAST)
e@ Participated in chat-bot competition ‘BotBaazi’ under ADSoc in NaSCon’22 and Al competition in Softec ‘22
@ Conducted University Seminar on Professional Practices.
Interests: Technology and innovation, Reading, Sports and physical activities

AI enrichment

Muhammad Zohaib Bashir is a 2023 graduate with a Bachelor's in Artificial Intelligence, specializing in data science, machine learning, and deep learning. He has practical experience through academic projects involving computer vision, sentiment analysis, and web development, along with certifications in Python, AWS, and Cloud Native technologies.
Skills (AI)
["Python", "Machine Learning", "Deep Learning", "Computer Vision", "TensorFlow", "Scikit-learn", "Django", "Flask", "SQL", "NoSQL", "Docker", "Jenkins", "Git", "Power BI", "Tableau", "C++", "Selenium", "Natural Language Processing"]
Status: ai_done
Provenance
Source file:
Created: 1777726226