Computer Science Engineer | AI & Machine Learning Politecnico di Milano

MSc student in Computer Science Engineering specializing in Artificial Intelligence and Machine Learning. Focused on building and understanding machine learning systems, with particular interest in computer vision, large language models, bioinformatics, the intersection of IT and biology.

• Machine Learning & Deep Learning
• Computer Vision
• Large Language Models (LLMs)
• Bioinformatics & Computational Biology

• MSc in Computer Science Engineering (AI/ML track)

• Academic projects in:

  • Computer Vision pipelines
  • LLM-based systems

• Professional experience in international sales (cross-market communication, problem-solving)

• Trivia Chatbot End-to-end interactive chatbot for trivia games using NLP and LLM techniques.

  Video presentation

  RAG, custom tools, text and audio interfaces, mix of experts, open source models.

• Deep Learning Vision Pipeline
  (Coming soon) End-to-end pipeline for breast cancer detection and classification using deep learning, covering data preprocessing, model training, and evaluation.

• Pain Level Prediction with Deep Learning
  (Coming soon) Sequence modeling approach for pain level classification and prediction using deep neural networks on temporal data.

• Hybrid Recommender System (Coming soon) Collaborative + content-based recommendation system for personalized suggestions.

• Order Management System Simulation
  Discrete-time simulation of an industrial order management system, implementing core data structures and algorithms for inventory, recipes, and order processing.

• Reti Logiche Project Digital systems design and logic implementation project.

• Robotics Project Robotics system development with focus on control and interaction.

• Polimi CSE Study Materials Structured notes and resources for Computer Science Engineering courses.

• AI Encyclopedia Ongoing collection of theoretical concepts, explanations, and references in AI.

• Distributed Job Scheduler (in progress) Simulation of a fault-tolerant distributed job scheduling system with load balancing across executors (OmNet++).

• Best Bike Paths – Software Engineering Project Requirements analysis and system design (RASD & DD) for a bike route recommendation platform.

• UPPAAL Formal Verification Case Study Formal Methods project demonstrating UPPAAL modeling, symbolic verification, statistical model checking, and best practices for scalable timed automata design.

Languages Python · Java · C/C++

ML / Data PyTorch · NumPy · Pandas · Scikit-learn

Concepts OOP · Algorithms · Data Structures · Model Evaluation

LinkedIn: View Profile Email: yana.siao@mail.polimi.it

Open to internships, part-time roles, and collaboration opportunities (commercial & non-commercial) from September 2026.

• Daily use of 5 languages: English, Italian, Chinese, Russian, Ukrainian
• Interests: birds, LEGO, and visual arts
• Enjoy drawing, reading science fiction, and videogames (roguelike, metroidvania)