Hi, I’m Masoud Khalilian — a master’s student in Data Science and Engineering at Politecnico di Torino, with a background in computer software and several years of hands-on experience across web development, data engineering, and machine learning.
Over the past few years, I’ve contributed to a diverse range of projects — from habit-tracking apps and front-end systems for stock trading platforms to automating data pipelines for academic research. I’m particularly drawn to building practical tools that make complex systems more accessible, whether that means organizing big data or improving how users interact with technology.
My core interests lie in large language models, data pipelines, deep learning, and natural language processing and Computer Vision. I’m passionate about applying technology to solve real-world problems, and I’m always curious about what’s next.
Right now, I’m working on Data Cleaner Assistant — a lightweight tool designed to help users clean and preprocess messy datasets more easily. The project is still evolving, but the goal is clear: to make data cleaning faster, more intuitive, and accessible for everyone, from students to data professionals.
Feel free to explore my work on GitHub or reach out — I’m always open to collaboration and new ideas.