Shafi ul Hussnain
NUST
· 2024
Email
shussnain.bscs20seecs@seecs.edu.pk
Phone
923247682334
LinkedIn
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GitHub
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Academic
Program
BS in Computer Science
CGPA
2.86
Year
2024
Education
School of Electrical Engineering and Computer Science
Address
Faisalabad , Pakistan
DOB
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Career
Current role
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Target role
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Skills
React, Flutter apps development, Google firebase, Android developer, Html, css, bootstrap, node.js, Database (mysql), Machine learning, C++
Interests / quote
As an aspiring computer science student, my fervent enthusiasm lies in crafting cutting-edge and intuitively-designed applications that empower individuals by seamlessly integrating technology into their everyday lives, fostering meaningful improvements and enhancing overall well-being.
Verbatim text
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Shafi ul Hussnain Details Technical Skills Soft Skills Reference Cell: 923247682334 Email: shussnain.bscs20seecs@seecs.edu.pk Address: DHUDHIWALA,HOUSE P#22,FAREED TOWN Street # 1 Faisalabad , Pakistan React Flutter apps development Google firebase Android developer Html, css, bootstrap, node.js Database (mysql) Machine learning C++ Time management Problem solving and innovation Good listner Creativity Strategic communications Teamwork & collaboration Leadership qualities Punctual and responsible Name: Zunera zahid Company: Nust(seecs) Phone: +92 333 5482787 Email: zunera.zahid@seecs.edu.pk Professional Profile As an aspiring computer science student, my fervent enthusiasm lies in crafting cutting- edge and intuitively-designed applications that empower individuals by seamlessly integrating technology into their everyday lives, fostering meaningful improvements and enhancing overall well-being. Education BS in Computer Science School of Electrical Engineering and Computer Science , 2.86 FSc (Pre-Engineering) The Punjab Group of Colleges , 1009/1100 (2020) Matriculation The City Grammar School , 1077/1100 (2018) Internship Experience Agri-Tech Lab SINES ( 15-Jun-2023 - 17-Aug-2023 ) Worked as a React Native and ML Intern 1. Developed a Ecommerce Mobile App using React Native and Firebase 2. Recommender System for shopping using ML (python) Projects Intelli Shop: An AI Powered Shopping App (FYP) Intellishop is an AI-powered shopping app that will use machine learning and image recognition technologies to offer personalized recommendations and an enhanced shopping experience for users. The app will include an admin dashboard that will allow the admin to analyze sales data, providing insights into w JOB FINDER APP USING REACT NATIVE With the versatile design of mobile Job Finder App, built using React Native, one can Easily find a job and apply through a link and can explore details of jobs. This innovative app is your all-in-one solution,revolutionizing the job-finding process by providing a seamless and user-friendly experience. MARKETING CAMPAIGN MANAGER (ML) Marketing Strategy Project using Machine Learning-Campaign design for a retail client. This product use ML algorithms that can help analyze customer data and predict their behavior, enabling businesses to deliver more targeted and personalized marketing campaigns. EXPENSE MANAGER APP IN FLUTTER Expense Manager App, built using the versatile Flutter framework, revolutionizes the way you handle your finances. With a intuitive user interface, our app simplifies the process of tracking and organizing expenses
AI enrichment
Shafi ul Hussnain is a BS Computer Science graduate with experience in mobile application development using React Native and Flutter, alongside skills in machine learning and backend technologies. His academic background includes a 2.86 CGPA and relevant internship and project work focused on building AI-powered and utility applications.
Skills (AI)
["React Native", "Flutter", "Machine Learning", "Firebase", "Node.js", "MySQL", "C++", "HTML/CSS", "Bootstrap", "Python"]
Status: ai_done