KSKhaled Sherif
@khaledsherif
Front-End Developer proficient in JavaScript and React.js.
TurkeyWhat I'm looking for
I am a dedicated Front-End Developer with a strong background in creating user-friendly interfaces that enhance visual appeal and functionality. Currently, I work at JuniusTech, where I have successfully designed and implemented web interfaces using React.js and JavaScript, significantly improving user satisfaction and retention rates. My focus on optimizing performance has led to reduced page load times, ensuring a seamless experience for users.
Previously, I interned as a Full-Stack Android Developer at Al-Mansour Company for Software Solutions, where I developed user-friendly mobile interfaces using Java and the Android SDK. My experience also includes a role as a Software Engineer Intern at Jeli.ai, where I led project coordination efforts that increased project completion rates and improved NLP accuracy by 25%. I am passionate about leveraging my skills in both front-end and back-end development to deliver comprehensive software solutions.
Experience
Work history, roles, and key accomplishments
Front-End Developer
JuniusTech
Dec 2023 - Present (1 year 7 months)
Designed and implemented user-friendly interfaces, improving satisfaction by enhancing visual appeal. Ensured functionality by optimizing performance, reducing page load times and increasing user retention.
Full-Stack Android Developer Intern
Al-Mansour Company for Software Solutions
Jun 2022 - Present (3 years 1 month)
Developed user-friendly interfaces using Java and Android SDK, improving user experience and reducing errors. Optimized database performance and query responsiveness with SQL and MySQL, leveraging back-end skills.
Software Engineer Intern
Jeli.ai
Feb 2022 - Present (3 years 5 months)
Automated Chatbot Deployment: Streamlined deployment with RasaAI, reducing time by 30%. Led Project Coordination: Increased project completion rates by 20% through effective team management.
Education
Degrees, certifications, and relevant coursework
Adana Alparslan Türkeş Science and Technology University
B.Sc., Electrical and Electronics Engineering
Developed a speech recognition model using MFCC features to detect numerals 0-9, improving accuracy by 15%. Implemented isolated speech recognition using LCNN, achieving 92% accuracy. Leveraged Deep Learning Tools: Utilized TensorFlow, Keras, and Python for model training and implementation.
Develhope
Frontend Developer, Frontend Development
Gained proficiency in frontend development with HTML5, CSS3, JavaScript, React.js, and Agile methodologies.
ZTM Academy, Udemy.com
Complete Web & Mobile Designer in 2023, UI/UX, Figma, +more
Gained a comprehensive skill set encompassing Product design, Mobile and Web design, and a strong foundation in Figma.
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