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Ali Maaz Cheema

FAST · 2025
Email
alimaaz265@gmail.com
Phone
+923234196315
LinkedIn
GitHub

Academic

Program
CGPA
Year
2025
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.
Ali Maaz Cheema
....-.
+923234196315, alimaaz265@gmail.com
f
Chaklala Garrison, Rawalpindi.
Linkedln: http_s:LLwww.linkedin.comLinLali-maaz-cheema-3b0024202L
'Education
Bachelor of Science (Computer Science)
Major:
M achine Learning, Deep Learning,
Mlops, Web development, and Software Project
M anagement & Engineering.
Root s Millennium, Islamabad
IA'levels (Physics, Chemistry, Mathematics, IT)
O'Levels (Physics, Chemistry, Computer Science, ICT)
'Projects
'Final Project: Pest Detection web app for smarter farming utilizing Deep Learning models [Django, React, MYSQL, OpenCV,
~OLOVS, Faster-RCNN]
~estlns ight is an Al-driven web app using the IP-102 dat aset, YOLOv8, and Faster R-CNN for real-time pest detection, severity
assessment, image enhancement, and chatbot support, aiding dat a-driven pest management.
!Semester Projects:
Podcast Website [MERN - MongoDB, Express.js, React.js, Node.js]
[Designed and deployed a podcast web application inspired by Apple Podcasts, implemented CRUD operations to enable seamless
podcast management.
Predicting and Generating Video Sequences Using Deep Learning [Python, Tensorflow, PyTorch]
Researched and implemented ConvLSTM and Pred-RNN t o generate and predict future video frames.
Environment Monitoring and Pollution Prediction System [Python, Flask, Mlflow,DVC, Git]
Built a Python-based solut ion to monitor environmental data and predict pollution levels, implemented real-time data processing
and deployed automated ML pipelines, reducing model retraining time.
rTimetable Scheduling [Python, Genetic Algorithms, Binary Encoding]
Developed a university t imetable scheduling system using genetic algorithms and art ificial intelligence.
Cafe Management System [C#, ASP.NET, and MySQL)
Developed a full-stack cafe management system automating order handling and inventory tracking.
Blood Bank Management System [Java, JavaFx, SceneBuilder, MongoDB)
Developed a Library Management System by applying OOP principles and GRASP patterns.
Work Experience
~oftware Engineer, National Logistics Corporation HQ, Rawalpindi.
July 2024 - August 2024
Worked as an intern in the software engineering t eam on web application using React,
iCSS, JavaScript and Django along with git for version cont rol.
August 2023 - January 2024
N\'orked to Facilitat e interactive lab sessions and assisting the instructor to conduct labs.
Evaluated assignments, quiz, lab tasks and providing timely constructive feedback.
'Skills & Tools
Professional Skills
Leadership, Problem solving, Team work, Interpersonal Skills, Communication.
rTechnical Skills
Python, JavaScript, C++, C#, C, Django, React.js, Node.js, HTMLS, CSS3, Git, GitHub actions, Docker, Jenkins,
M LFlow, DVC, Kubernetes, AWS, Pytorch, Sci-kit Learn, Tensor Flow, SQL, No SQL.
'Achievements
~warded w ith 100% Scholarship during A' levels for academic excellence.
Trainings I Certification
K:ompleted certification of 'Introduction to Computer Vision' by Great Learning Academy
K:ompleted certification of 'Introduction to Web Development with HTML, CSS, JavaScript ' by IBM
IAWS Academy Cloud Foundations Certificat e of Completion
'Activities
Member of photography and social media teams for societies in university events.
~nterests
rTravelling, Photography, Gym
FAST NUCES ISLAMABAD CAMPUS

AI enrichment

Ali Maaz Cheema is a Computer Science graduate with a focus on Machine Learning, Deep Learning, and full-stack web development. He has practical experience through an internship at National Logistics Corporation and multiple academic projects involving AI models and web applications.
Skills (AI)
["Python", "JavaScript", "React.js", "Django", "Node.js", "TensorFlow", "PyTorch", "Docker", "Kubernetes", "AWS", "Git", "SQL", "NoSQL", "C++", "C#", "Machine Learning", "Deep Learning", "Computer Vision"]
Status: ai_done
Provenance
Source file:
Created: 1777724106