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Prosper Oluwafemi

Prosper Oluwafemi

Frontend Developer / Web Developer

Talent
Ibadan, Oyo StateMember since August 23, 2026
TypeScript
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TypeScript

About

A detail-oriented Frontend Developer skilled in JavaScript, React, and TypeScript, with a Computer Engineering background in embedded systems and applied machine learning. Experienced in building responsive websites, cross-platform mobile apps, and interactive UI components for real businesses, and comfortable translating ideas into clean, functional code. Seeking a frontend developer role where I can build user-focused products and keep growing as an engineer.

Experience

Frontend Developer / Web Developer - Icity Global (Solar & CCTV Installation Company) - Ibadan, Nigeria

(2024-01)

  • Designed and built the company's multi-page website from scratch using HTML, CSS, and JavaScript, showcasing solar and CCTV product/service offerings.
  • Implemented responsive layouts and optimized image assets so the site performs well across mobile and desktop devices.
  • Collaborated with company stakeholders to translate business requirements into a clean, functional web presence.
  • Maintained and updated site content, ensuring accurate and current product information.

Independent Frontend / Full-Stack Developer - Self-directed

(2023-01)

  • Built a personal developer portfolio site featuring a Canvas-animated interactive robot and a multi-themed demo sub-site (fashion, tech, agency, restaurant, SaaS).
  • Developed a LinkedIn-style profile editor as a reusable React component.
  • Extended fintech-style web app clones with features such as dark/light mode, cookie consent banners, and a Nigerian PAYE tax calculator.
  • Built a cross-platform Android mobile app using Capacitor to control a hardware voice-activated fan system, including a Python Flask backend for audio handling.

Final Year Project – Voice Control System - Ladoke Akintola University of Technology (LAUTECH)

(2025-01 - 2026-06)

  • Designed and implemented a speech-controlled automation system using LSTM/MFCC-based speech recognition running on Raspberry Pi 4 and Arduino Uno, achieving ~94.3% recognition accuracy.
  • Built the interface and control logic connecting the recognition model to hardware output.
  • Produced full technical documentation and presentation materials for project defense.

Education

Bachelor of Technology (B.Tech) - Computer Engineering - Ladoke Akintola University of Technology (LAUTECH) (2021-01 - 2026-06)

Secondary School Education (SSCE) - External Excellency College (2014-01 - 2021-12)

Primary School Leaving Certificate - God's Heritage Primary School (2007-01 - 2014-12)

Skills

Frontend Developer / Web Developer

Reviews

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