Muhammad Shahzaib Imran
Bis 2023, Associate Software Engineer, Emblem Technologies
Student, Computer Science, Julius-Maximilians-Universität Würzburg
Wurzburg, Deutschland
Über mich
I'm a passionate software developer driven by creating web solutions that are fast, scalable, and user-friendly. I leverage my expertise in Next.js (server-side rendering, static site generation, API routes) and D3.js (data visualization) to deliver impactful applications. Previously, as a Training & Development Consultant at Knowledge Streams, I designed and delivered engaging online courses on web development topics like HTML, CSS, JavaScript, React.js, Express.js and Node.js. I empowered learners with practical skills to build real projects and collaborated with instructors to ensure program quality. Currently, I'm pursuing a Master's in Computer Science at the Julius Maximilian University of Würzburg, delving into AI, Machine Learning, and Data Science. With my combined web development and data science knowledge, I aspire to create solutions that tackle real-world challenges and make a positive difference. Contact: Email: imranshahzaib8@gmail.com
Werdegang
Berufserfahrung von Muhammad Shahzaib Imran
3 Monate, Okt. 2023 - Dez. 2023
Training & Development Consulatant
Knowledge Streams
Successfully trained and mentored a total of 60-70 students over 12 weeks in MERN (MongoDB, Express.js, React.js, Node.js) stack development, showcasing expertise in both React JS and Node JS Demonstrated exceptional leadership skills by managing and leading three separate classes concurrently, highlighting the ability to handle the pressure of training a significant number of students within a dynamic startup environment
9 Monate, Jan. 2023 - Sep. 2023
Associate Software Engineer
Emblem Technologies
5 Monate, Aug. 2022 - Dez. 2022
Fullstack Developer
Code Genetics
Led the design and implementation of a pharmacy management system, resulting in a 30% increase in customer satisfaction and a 50% increase in growth rate Implemented a weekly progress reporting mechanism and facilitated cross-functional meetings, leading to a 40% increase in interdepartmental collaboration and a 15% reduction in project delays Developed and deployed scalable web applications using the MERN stack, resulting in a 40% reduction in page load time and a 50% increase in user engagement
Ausbildung von Muhammad Shahzaib Imran
Bis heute 6 Monate, seit Jan. 2024
Computer Science
Julius-Maximilians-Universität Würzburg
4 Jahre, Aug. 2018 - Juli 2022
Electrical and Computer Engineering
National University of Computer and Emerging Sciences (formerly FAST)
Sprachen
Englisch
Fließend
Deutsch
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