Ali Maaz Cheema
FAST
· 2025
Email
alimaaz265@gmail.com
Phone
+923234196315
LinkedIn
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GitHub
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Academic
Program
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CGPA
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Year
2025
Education
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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