AI/ML Engineer
I've utilized TensorFlow, PyTorch, and Scikit-learn to create AI models that effectively interpret complex data, turning AI theory into practical solutions across projects like a image recognition system
Welcome, I'm
Edward Magongo
Software Engineer and Researcher
Embarking on the frontier of technology, I blend analytical rigor with a passion for innovation to drive the future of intelligent solutions...
Let's Chat!My Intro
About Me
Hello! My name is Edward and I'm a researcher who specializes in AI and ML. I aim to make a lasting positive impact
through cutting-edge technology. My goals center around overcoming AI challenges, harnessing AI for societal benefits,
and advocating for sustainable and responsible AI practices. I am passionate about learning and expanding my knowledge
in all domains and enjoy collaborating with ambitious, like-minded individuals.
I'm currently a Senior at St Andrew's School Turi in Nakuru, Kenya and a passionate basketballer!
Industry Skills
My Skills
Programming languages and frameworks I have mastered over the years
See Projects- Python
- Dart
- Javascript
- HTML + CSS
- PyTorch
- Flutter
- Natural Language Processing
- TensorFlow
Industry Positions
What I Do
Software Developer
I've developed user-centric applications such as TPS Hub Mobile App, focusing on user-friendly solutions using Dart and Firebase database improving functionality and digital experiences
Student Researcher
I specialize in applying AI/ML to practical and socio-economic issues, such as creating an quantum-inspired CNN model optimized for resource strained environments
My Projects
My Recent Work
Quantum-inspired Model Compression Research
Conducted research focusing on integrating quantum-inspired techniques in CNNs. Managed the experimentation and documentation process, achieving significant performance improvements and reducing model inference times. Accepted Paper (NeurIPS) Published Paper (The Quantum Insider) View GitHub
API and Database Development
Leveraged Flask, SQLAlchemy, and Docker to develop a scalable, containerized API. Integrated SQLite for efficient data management, implemented Flask-Migrate for database migrations, and ensured application deployment in a Dockerized environment. Applied in diagnostic symptom-based AI model training. Final Presentation (Medvice)
Image Recognition System using CNNs
Built an image recognition system for self driving cars that achieved 87% accuracy using a deep CNN model. The project involved dataset preparation, model architecture design, and performance optimization. Final Presentation (Vertias AI Scholars) View GitHub
TPS Hub: Social Networking App
Created TPS Hub, a mobile app for students at St. Andrew’s School Turi, facilitating project showcases and team collaboration across committees. Integrated real-time messaging, user profiles, and a project gallery, for over 1000 users. APP Release App Store (Coming Soon) APP Release Playstore (Coming Soon) View GitHub
Art(Fro) Scentric Studios : E-Commerce Website
Programmed website dedicated to showcasing and supporting talented African artists. Curated a unique collection of original artworks that celebrate African cultural heritage and creativity. Published Website View GitHub