Welcome to my GitHub! I’m a Machine Learning Engineer, Exploitation Analyst, and Full-Stack Developer passionate about leveraging AI, software engineering, and research to solve real-world problems.

Currently:
MSc Computer Science grad @ Anglia Ruskin University, UK
Researcher | Builder | Exploitation Analyst

🔹 I like to build systems that blend Machine Learning, Web Technologies, and Data to create solutions to real problems.
🔹 I’m currently exploring AI in healthcare, finance, and ethical hacking — with hands-on research and professional internships in both industries.

🔗 My Portfolio Website
My CV (PDF)
🔗 LinkedIn

• Languages: Python, JavaScript (ES6+), Bash, SQL, C++
• Frameworks & Tools: React.js, FastAPI, Django, Flask, Tailwind CSS, Vite
• ML & AI: TensorFlow Lite, Explainable AI, MLOps, Neural Nets, Sklearn, Deep Learning
• Cloud & DevOps: Netlify, Vercel, Git & GitHub, Linux, OSINT
• Other: Ethical Hacking, Data Visualization, Technical Writing, Power BI

Role: Machine Learning Lead
Using deep learning and computer vision to power low-cost diagnostic tools for malaria. Building ML pipelines optimized for embedded systems to serve underserved regions in West Africa.

Role: React Frontend Developer
Built a modern single-page app using React + Vite with TMDB API integration, persistent favorites, and Context API. Designed to be clean, responsive, and fast.

Postgrad Research Project
Applied parallel ensemble architectures to predict intraday AAPL stock price movements using neural networks and the triple-screen trading system.

Applied supervised learning models (MLP, SVM, RF) on ECG data from MIT-BIH to classify heartbeat signals. Achieved 98%+ accuracy using ensemble learning and advanced performance metrics.

• Cybersecurity Intern @ Hacktales
  Focused on exploitation analysis, OSINT, and vulnerability assessment using tools like Nmap, OpenVAS, Kali Linux, and scripting.

• Strategy Intern @ Interswitch Group
  Developed a Data & AI strategic roadmap for a fintech company. Gained deep insights into payment ecosystems, Financial services-related innovation, Value streams, Payment facilitation lifecycle, and card scheme management.

• Volunteer Data Analyst @ Rainham Food Bank
  Used data to improve food distribution efficiency, built dashboards, and performed impact analysis using real data pipelines.

If you're into building intelligent systems, solving global problems, or just love talking code, let’s connect!
Feel free to explore my repos, open issues, or reach out:

[email protected]
ubongabasi.netlify.app
LinkedIn
My CV (PDF)