Frontend Developer with expertise in React, Tailwind CSS, Redux, and React Native CLI. Skilled in building responsive web platforms, cross-platform apps, and user-friendly interfaces that enhance usability and experience.
Overview
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Certification
Work History
Front End Developer Intern
Origin Software
Hyderabad
12.2024 - Current
Dihome Project: Contributed to the end-to-end development of a web and mobile application designed for apartment communities in Riyadh, Saudi Arabia, aiming to streamline facilities management and enhance the living experience for residents.
Designed and developed a highly responsive web platform using React and Tailwind CSS, ensuring a visually appealing, modern, and user-friendly interface optimized for all devices.
Built a mobile application with React Native CLI, and Redux API, ensuring cross-platform compatibility, smooth performance, and efficient data handling.
Implemented dynamic form generation to enable customizable forms for user inputs, improving flexibility and adaptability to user needs.
Collaborated closely with UI/UX designers to translate wireframes and mockups into high-quality, functional interfaces that meet the client’s vision and user needs.
Education
Bachelor of Engineering - Computer Science Engineering
Front-End Developer Professional Certification by Meta
JAVA beginner certification by UDEMY and ISO Certification.
React by Professional Certification by Meta
MS Office Certification by ISO Certification
Linkedin Profile & Github
www.linkedin.com/in/md-ansari-faiz
https://github.com/FaizAnsari07
Projects
Dihome Intern Project
Developed a responsive web platform using React, Tailwind CSS, and Redux, and a cross-platform mobile app with React Native CLI and NativeWind, enhancing apartment community management in Riyadh, Saudi Arabia. Integrated RESTful APIs and dynamic forms for improved usability and resident experience.
YouTube Clone Technologies Used ( September 2024- August 2024) : HTML, CSS, JavaScript, React.js . It showcases my skills in front-end development and offers a responsive design that mimics the core functionalities of the original platform.
Calculator Using Frontend Technology: Developed a functional calculator using HTML, CSS, and JavaScript, featuring a user-friendly interface for performing basic arithmetic operations.
Face mask detection using deep learning | February 2024 (Mini Project)- Developed a mask detection system using HAAR-Cascade and deep learning, trained on face mask and non-face mask images to support public health during the COVID-19 pandemic.
Brain Tumor Detection using Deep Learning | April 2024 (Major Project):
Implemented brain tumor detection using ResNet50 with data augmentation, leveraging transfer learning from ImageNet. The proposed method demonstrated significant improvements over conventional techniques, validated through the Kruskal-Wallis test.
ACHIEVEMENTS
WINNER OF DEBATE Competition in College VREC (Vijay Rural Engineering College, Nizamabad)