Muhammad Zohaib
FAST
· 2023
Email
muhammadzohaib487@gmail.com
Phone
+923217234132
GitHub
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Academic
Program
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CGPA
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Year
2023
Education
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Address
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DOB
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SS) Muhammad Zohaib +92 3217234132, muhammadzohaib487@gmail.com 44790 Islamabad LinkedIn: https://www.linkedin.com/in/muhammadzohaiib / ducation Bachelor of Science (Computer Science) 2023 lajor: OOP, Data Structures, Web Programming , Natural Language Processing, Digital Image Processing, Cloud Security. Beacon House Margalla Campus, Islamabad 2014 - 0/A levels | 2019 rojects Final Project: Online interview training system- InTrivia [MERN stack, Flask, PyTorch] ‘An online interview training system that utilizes NLP knowledge to train people for interviews through subjective (question answers. Additionally, a platform to automate the the physical interviews taken by HR teams. pemester Projects: ‘ar Management System [Python, MySQL] : Developed a python desktop application for cars like Pakwheels. Bock Chain Project: Created an online committee system with the help of smart contracts with complete Front-end and Back-end implementation using React and Solidity. Mobile Sale platform [React Native, nodejs]: Developed a trusted mobile selling platform for ease of people to buy and sell used mobile phones. Number Plate Detetction [cv2, python]: A project that recognizes and detects number plate of a moving car through a video or real-time. kills & Tools rofessional Skills Leadership, Interpersonal Skills, Communication. echnical Skills HTML, CSS, JavaScript, Bootstrap, React, NodeJS, mongoose, Express, pyhton, C++, Go, Solidity, mySQL. Achievements Hafiz-ul-Quran Established Ecommerce Business Trainings / Certification Kaggle python certification Scrimba Front End Developer career path Udemy Full Stack Development Boot Camp Activities NaSCOn’22-23 Finance team. Interests Book Reading, Basketball.
AI enrichment
Muhammad Zohaib is a 2023 Computer Science graduate with practical experience in full-stack web development and blockchain technologies. He has built multiple projects using the MERN stack, Python, and Solidity, demonstrating proficiency in both frontend and backend development.
Skills (AI)
["JavaScript", "React", "Node.js", "Express", "MongoDB", "Python", "Solidity", "HTML/CSS", "MySQL", "React Native", "Flask", "PyTorch", "OpenCV", "Go"]
Status: ai_done
Provenance
Source file: —Created: 1777726226