CV

Shiran Yu

📍 London

📞 +44 7442651846

Master of Science in Integrated Machine Learning Systems
Sept 2024 – Present

Coursework:
Introduction to Internet Protocol Networks, Applied Machine Learning Systems, Data Acquisition and Processing Systems (DPS), Cloud, Data Centres and Edge-Computing, Security and Privacy, Emerging Topics in Integrated Machine Learning Systems, Deep Learning for Natural Language Processing

Bachelor of Science in Automation (Control Theory)
Sept 2020 – June 2024

GPA: 87.8/100
Coursework:
Fundamentals of Circuit Analysis (91), Signal Analysis and Processing (86), Fundamentals of Digital Electronic Technology (90), Introduction to Software Engineering (97), Microcomputer Principles and Interface Technology (90), Fundamentals of Analog Electronic Technology (86), Automatic Control Theory (86), Automatic Control Elements (89), Sensor and Detection Technology (92), Calculation Methods (95), Fundamentals of Intelligent Control (98)

Momenta, Beijing, China
Sept 2023 – Jan 2024

Maintained and optimized the backend system of autonomous vehicle data acquisition, including performance tuning, error fixing, and stability analysis, enhancing system responsiveness and stability.
Developed automated testing features for autonomous vehicle data acquisition, involving test case writing, framework setup, and result analysis. Continuous integration and automated testing were employed to enhance product quality.
Designed and implemented an intelligent large-scale model customer service system using Llama Index and OpenAI API, enabling users to inquire and troubleshoot real-world problems effectively.

Beijing Institute of Technology, Beijing, China
Oct 2022 – June 2023

Conducted research in utilizing near-infrared spectroscopy (NIRS) data for high-resolution MRI reconstruction, creating a novel medical imaging workflow integrating NIRS and MRI data collection.
Collected and processed brain oxygen data, constructing paired NIRS and MRI datasets for training deep learning models in medical imaging generation.
Designed and implemented a Latent Diffusion Model to reconstruct high-resolution MRI images from NIRS data, demonstrating potential for enhancing non-invasive imaging techniques.

Outstanding Undergraduate Thesis (2024) - Beijing Institute of Technology
First Prize in Beijing Institute of Technology Scholarship (2023) - Beijing Institute of Technology
Outstanding student of the university (2022)

Programming Languages: Python, MATLAB, C, C++
Frameworks and Tools: PyTorch, TensorFlow, FastAPI, Docker
Other Skills: Machine Learning, Deep Learning, Diffusion Models, Data Analysis, Cloud Computing, Automation Systems