I'm a recent business school undergraduate, where I specialized in information technology.
I'm particularly interested in backend development and machine learning, and I work primarily with Python.

I’m currently learning more about modern ML workflows, infrastructure design, and production-ready API development.

Languages: Python, SQL, Bash, HTML/CSS, JavaScript, C#, VBA
Frameworks & Libraries: FastAPI, Node.js, pandas, Mongoose
Databases: MongoDB, MySQL
Machine Learning Frameworks: PyTorch (primary), TensorFlow, scikit-learn
Tools & Dev Environment: Docker, Git, Visual Studio Code, WSL (Ubuntu), tmux, vim
Markup & Config: YAML, JSON, Dockerfiles
Other Experience: Jupyter notebooks, Virtual machines (local & cloud)

• 📚 Book Recommendation System
  Built a FastAPI-based backend combining collaborative filtering (using embeddings and metadata) with a KNN model on the embeddings. Designed to handle real user-book interactions and deliver personalized recommendations.

• 🌐 Missing Semester Solutions Website
  Created a PHP-based website hosted with Apache to share organized notes and solutions for The Missing Semester course. Deployed on Oracle Cloud with DNS and HTTPS configured.

• 🎮 Secure Real-Time Multiplayer Game
  Developed a simple real-time multiplayer game using Node.js and WebSockets. Focused on live state synchronization, session management, and secure communication between players.

• Fast.ai (Part 2): Advanced deep learning techniques and model deployment
• Best practices for scalable API design with FastAPI
• Workflow improvements for reproducibility, versioning, and monitoring in ML pipelines
• C#: Exploring its use in AI development and cloud-integrated applications

• AI for Everyone – Andrew Ng (Coursera)
• FreeCodeCamp Certifications:
  • Back End Development and APIs
  • Quality Assurance
  • Scientific Computing with Python
  • Data Analysis with Python
  • Information Security
  • Machine Learning with Python
  • College Algebra with Python
• Intro to Deep Learning – MIT
• The Missing Semester of Your CS Education – MIT
• Fast.ai – Practical Deep Learning for Coders, Part 1
• Fast.ai – Part 2 (in progress)
• C# for AI and Cloud Workflows (in progress)