Abdul-Aziz Ziblim

Full-Stack Developer & Mobile Engineer

Kumasi, Ghana(+233) 550562665azizmeltzer@gmail.com

Full-stack developer and Industrial Engineering graduate with expertise in building production-ready web and mobile applications. Skilled in React, Next.js, React Native, Python, and Django with a focus on real-time systems and AI integration. Proven ability to lead projects from concept to deployment while delivering measurable user impact.

Experience

Software & IT Support

Jan 2025 – Present

KNUST E-learning Center

  • Developing ACE IT, an AI-powered mobile learning app using React Native and Expo, targeting KNUST's 60,000+ student population
  • Integrated Google Gemini AI to auto-generate personalized courses and flashcards, reducing study prep time by an estimated 60%
  • Providing technical support for e-learning platforms serving 10,000+ students across campus

R&D and Engineering Design Intern

Oct – Nov 2024

IMHO Limited

  • Led a cross-functional team of 6 engineers in designing and fabricating a mobile molten metal pouring system, improving production efficiency
  • Created system requirements documentation and technical specifications for manufacturing processes

Education

B.Eng Industrial Engineering

Sept 2020 – 2025 (Graduated)

Kwame Nkrumah University of Science and Technology, Kumasi

Projects

Spherespace

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React · Django · WebSockets · PostgreSQL · Redis

Architected and built a full-stack real-time social platform featuring live video streaming, WebSocket-powered instant messaging, and gamification (achievements, streaks). Implemented user engagement features that drive daily active usage.

ACE IT - AI Learning Assistant

Private
Demo ↗

React Native · Expo · Supabase · TypeScript · Google Gemini

Developing an AI learning assistant for KNUST's 60,000+ students that auto-generates courses and flashcards using Google Gemini API. Features personalized study plans and progress tracking, designed to reduce study prep time by 60%.

Developer Portfolio

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Next.js 14 · TypeScript · Tailwind CSS

Designed and developed a responsive portfolio using Next.js 14 App Router with server components, achieving 95+ Lighthouse performance score and optimized SEO.

Skills

Languages: Python, TypeScript, JavaScript, HTML, CSS

Frameworks: Django, FastAPI, React Native, Expo, Next.js, Tailwind CSS

Data & ML: Pandas, NumPy, Scikit-learn, TensorFlow

Tools: Docker, Git, Vercel

Certifications

  • Python Programming & Intro to Machine Learning — Kaggle
  • Data Analysis with Python — freeCodeCamp
  • Machine Learning Specialization — Coursera