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  • Ebubeidika@gmail.com
  • 11:22 (UTC +02:00)

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Marvidik/README.md

👋 Hi, I'm Idika Ebube Marvellous

Backend Engineer | Python & Django Specialist | Cloud & API Enthusiast

📍 Uyo, Akwa Ibom, Nigeria   |   📧 ebubeidika@gmail.com   |   📱 +2348132106194

🧠 About Me

Results-driven Backend Engineer with deep experience in Python, Django, and event-driven architectures. I specialize in building scalable, secure, and high-performance backend systems, RESTful APIs, cloud deployments, and integrations with third-party services.

I love working on high-impact projects, mentoring other devs, and solving complex backend challenges with clean code and thoughtful architecture.

🛠️ Tech Stack

💼 Experience

🔧 Moveworld Technology

  • Backend for CBT exam platform for NGO (Precision)
  • Built e-commerce backend for Vizid Decors
  • Developed food ordering system backend
  • Built ML model for Android malware detection
  • Server infrastructure for a US-based Streamlit project

🔧 IGHUB

  • Backend for Aid Deck (missionary aid platform)
  • Built IoT systems: DripBeep, soil moisture sensor
  • Designed obstacle avoidance system (Arduino + Proteus)

🔧 Muvad Consults (USA)

  • IT consulting for system architecture and server management

🔧 SaviezTech

  • Developed SerEase (vendor/client platform)
  • Built POS and Radiant Repose website
  • Managed client software and internal onboarding

🔧 Freelance (Remote)

  • Built backend for Ad Analytics Dashboard
  • Integrated APIs from Facebook Ads, Google Ads, Shopify

📚 Education

B.Sc. in Mechatronics Engineering
Federal University of Technology, Owerri (FUTO)

🌍 Languages

  • English – Native

📫 Let’s Connect

  

Pinned Loading

  1. TrustTrade TrustTrade Public

    Python

  2. Saviez-Tech/RadiantRepose-Backend Saviez-Tech/RadiantRepose-Backend Public

    Python

  3. KashIQBack KashIQBack Public

    Python

  4. MovieApp MovieApp Public

    JavaScript

  5. FoodRide FoodRide Public

    JavaScript 1

  6. android-malware-detection android-malware-detection Public

    detects malware from pdf files and apk files using machine learning techniques

    Jupyter Notebook 1