I’m a problem-solver passionate about AI/ML, full-stack development, and quantum computing. As a final-year student, I aim to pursue a master’s in quantum computing or AI, and eventually a PhD. I enjoy tackling complex coding challenges, building efficient and scalable applications across backend and frontend, and learning new technologies. I’m also open to collaborating on interesting projects.

I am part of the Centre for the Study of Complexity at BBU, a research group focused on complex systems and optimization in AI/ML and increasingly in quantum computing. I am also a Qiskit Advocate, contributing to the global quantum computing community and promoting the adoption of quantum programming.

• Web Development

  

• .NET Ecosystem

  

• Java Ecosystem

  

• Other

  

🔹 REST API Design
🔹 Object-Oriented Programming (OOP)
🔹 Data Structures & Algorithms
🔹 Software Design Patterns
🔹 Quantum Computing Concepts
🔹 Multithreading/Concurrency
🔹 Networking
🔹 Operating Systems
🔹 Regular Expressions
🔹 Functional Programming
🔹 Evolutionary Algorithms

🔹 Full-stack Development
🔹 AI/ML Engineering
🔹 Quantum Computing
🔹 Systems Architecture
🔹 Performance Optimization

Currently not actively working on projects, but soon planning to start my bachelor's thesis, develop the full-scale Spotify-integrated dosq.fm app, and work on a few publications in quantum programming.

Python script that transfers your liked songs on Spotify to Last.fm as “loved” tracks. I originally forked this project while searching for a tool like this, unsure if one even existed. I loved it so much that I made improvements to enhance its functionality. As someone passionate about statistics and music, I really enjoy using Last.fm, and this project combines both my interests perfectly.

A wave-based variation of the 80s game Space Defender. Developed in .NET C# with Windows Forms.
This project helped me learn Windows Forms and made me more comfortable with C# .NET. It was a great learning exercise, as it pushed me out of my comfort zone, requiring me to handle challenges like collision detection.

Implementation of the Planes game. Built in Python with Pygame, featuring a custom smart AI algorithm.
I thoroughly enjoyed developing my own smart AI algorithm for the computer after studying papers on the AI algorithm based on probability density functions used for the Battleships game.

A repository of past projects and assignments completed for university courses, covering a range of programming concepts and technologies. Last semester, I took the following courses:

• Web Development: Covered both client-side (HTML, CSS, JavaScript, Angular) and server-side web technologies (PHP, ASP.NET, Spring, etc.).
• Database Management Systems: Learnt how to manage databases using ADO.NET with C# .NET, alongside database fundamentals including concurrency control, recovery, query optimization and distributed and parallel databases.
• Software Engineering: Focused on teamwork and full-stack development (the project is available in the se-hospital-duo repository).
• Systems for Design and Implementation: Involved developing a full-stack app by myself using Next.js (Typescript), ASP.NET Core, and PostgreSQL (check out the project in the dosq.fm-lite repository).
• Artificial Intelligence: Introduced the basics of AI, from Perceptrons all the way to CNNs and Computer Vision.

• 🐱 Realtime Entity Classifier
• ⛏️ Minesweeper
• ❤️ Heart Disease Prediction VQC
• 📚 University Projects

• I'm very passionate about listening to music and tracking how my tastes evolve over time, and I enjoy exploring vastly different genres, including hip-hop, metal, ambient, and pop.
• I also have a deep love for photography, especially shooting in black and white with a focus on capturing the architecture of buildings and their symmetry wherever I go.

• 📧 Email: sebastian.soptelea@proton.me
• 🔗 LinkedIn