Hi there! I'm Sophia 👋🏽

Full-Stack Software Engineer | Applied Geophysics Graduate | Curious Builder

Building useful things. Exploring ideas. Staying curious.

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🌿 About Me

I'm Sophia Val-Izevbigie, a full-stack software engineer who enjoys turning ideas into practical, thoughtfully designed applications.

I work across frontend and backend development, creating responsive interfaces, APIs, database-driven applications, and intelligent software systems.

I also hold a degree in Applied Geophysics from the University of Benin. My interests extend into scientific computing, machine learning, and the intersection of software engineering and geoscience.

I enjoy understanding how things work, experimenting with new technologies, and building projects simply because an idea interests me.

• 💻 Software engineering: Full-stack web applications, APIs, and backend systems.
• 🧠 AI: Embeddings, semantic search, and intelligent applications.
• 🌍 Geoscience: Seismic interpretation, well-log analysis, and scientific computing.
• 🎨 Creativity: Building intuitive interfaces and useful tools.
• 🌱 Learning: Continuously exploring new ideas and technologies.

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🛠️ Tech Stack

💻 Programming Languages

🎨 Frontend Development

⚙️ Backend & Databases

🧰 Tools & Platforms

🔬 Additional Interests

REST APIs · Authentication · Authorization · AI Integrations · Vector Search · Scientific Computing · Machine Learning

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🚀 Featured Projects

🎫 Support Ticket & Knowledge Base System

A full-stack application designed to manage internal support requests and organize technical knowledge.

Highlights

• Ticket creation, assignment workflows, and status tracking.
• JWT authentication and role-based access control.
• Searchable knowledge base articles.
• Administrative dashboard and file attachments.

Technologies: React · TypeScript · Node.js · Express · SQLite · Tailwind CSS

🧠 RAG SQLite Vector Module

A TypeScript module exploring local text embeddings and semantic similarity search using SQLite vector extensions.

Highlights

• Local embedding generation with node-llama-cpp.
• Vector storage with SQLite and sqlite-vec.
• Semantic similarity search.
• Reusable document-saving and retrieval functions.

Technologies: TypeScript · Node.js · SQLite · sqlite-vec · Nomic Embeddings

🎥 Electron Screen Recorder

A desktop screen-recording project exploring application development with Electron.

Technologies: Electron · JavaScript

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🌍 Beyond Software Development

Before pursuing software engineering professionally, I studied Applied Geophysics at the University of Benin.

My academic and research interests include:

• Seismic interpretation and subsurface characterization.
• Well-log analysis and petrophysical properties.
• Machine learning applications in geoscience.
• Scientific programming and data analysis.

My undergraduate research explored machine-learning-based porosity prediction using well-log data from the Niger Delta.

I'm interested in opportunities to connect my software engineering experience with geoscience and scientific research.

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🤝 Let's Connect

I'm always interested in meaningful conversations about software engineering, geoscience, and interesting technical ideas.

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🌱 Keep Building. Keep Exploring.

Good software starts with curiosity.